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230 Remote Data Science Jobs at companies like Wallethub, Thinkful and Crisp last posted 9 days ago

230 Remote Data Science Jobs at companies like Wallethub, Thinkful and Crisp last posted 9 days ago

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Thinkful


Data Science Subject Matter Expert

Data Science Subject Matter Expert


Thinkful


data science

data science

11d
\nPlease Apply Here\n\nEducation | Remote, USA | Contract\n\n\nWho We Are\nThinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. We provide 1-on-1 learning through our network of industry experts, hiring partners, and online platform to deliver a structured and flexible education. Thinkful offers programs in web development, data science, and design, with in-person communities in up-and-coming tech hubs around the U.S. To join the Thinkful network visit thinkful.com.\n\nJob Description\nThinkful is launching a new immersive data science program which aims to be the best in-class remote, full-time data science program offered today. As part of this effort, we're looking for a  data science subject matter expert to join us in executing on our content roadmap for this exciting new program. You will be creating the backbone of a new program that propels people from a background in academia and the sciences into an impactful career as Data Scientists. You'll produce written content, lesson plans including instructor notes and student activity descriptions, presentation decks, code assets, and written content, all to support our students as they learn the core skills of data science. Your work product will be extremely impactful, as it forms the core asset around which the daily experience of our students will revolve. \n\nResponsibilities\n\n\n* Consistently deliver content that meets spec and is on time to support our program launch roadmap\n\n* Create daily lesson plans consisting of \n\n* Presentation decks that instructors use to lecture students on a given learning objective\n\n* Instructor notes that instructors use alongside \n\n* Activity descriptions — these are notes describing tasks students complete together in order to advance the learning objective in a given lecture\n\n* Creates curriculum checkpoint content on specific learning objectives. In addition to the in-class experience, our students also spend time reading and completing tasks for a written curriculum hosted on the Thinkful platform\n\n* Creates code assets to support lesson plans, student activities, and written curriculum content\n\n* Iterates on deliverables based on user feedback\n\n\n\n\nRequirements\n\n\n* 3+ years of hands-on Data Science industry experience \n\n* Demonstrated subject matter expert in stats and probability, programming in Python, Python data science toolkit (comprised of Jupyter notebooks, Pandas, sci-kit-learn), A/B testing, supervised and unsupervised machine learning\n\n* Knowledgeable with Natural Language Processing (NLP), Big Data (Spark, Hadoop), Deep Learning/Machine Learning (keras, tensorflow)\n\n* Collaborative.You enjoy partnering with people and have excellent project management skills and follow through\n\n* Excellent writing skills. You've got a gift for writing about complicated concepts in a beginner-friendly way. You can produce high-quality prose as well as high-quality presentations\n\n\n\n\nCompensation and Benefit\n\n\n* Contract position with a collaborative team\n\n* Ability to work remotely with flexible hours \n\n* Access to all available course curriculum for personal use\n\n* Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry\n\n* At this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming\n\n\n\n\n\n\n\n\n\n\nApply Here:\n\nhttps://hire.withgoogle.com/public/jobs/thinkfulcom/view/P_AAAAAAEAAAxHq8aIGTpRVo?trackingTag=stackOverflow

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Thinkful


Data Science Course Mentor

Data Science Course Mentor


Thinkful


data science

data science

17d
Click here to apply\n\nWho We Are \nAt Thinkful, we believe that if schools put in even half the amount of effort that students do the outcomes would be better for everyone. People would have a path to a fulfilling future, instead of being buried under debt. Employers would benefit from a workforce trained for today. And education could finally offer students a return on their investment of both money and time. \n\nWe put in outlandish amounts of effort to create an education that offers our students a guaranteed return on their investment. we partner with employers to create a world-class curriculum built for today. We go to ends of the earth to find mentors who are the best of the best. We invest more in career services than any of our peers. We work hard to be on the ground in the cities our students are. Simply put, no other school works as hard for its students as we do. \n\n\nThe Position\nAt Thinkful, we believe that if schools put in even half the amount of effort that students do the outcomes would be better for everyone. People would have a path to a fulfilling future, instead of being buried under debt. Employers would benefit from a workforce trained for today. And education could finally offer students a return on their investment of both money and time. \n\nWe put in outlandish amounts of effort to create an education that offers our students a guaranteed return on their investment. we partner with employers to create a world-class curriculum built for today. We go to ends of the earth to find mentors who are the best of the best. We invest more in career services than any of our peers. We work hard to be on the ground in the cities our students are. Simply put, no other school works as hard for its students as we do. \n\nStudents enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed technologists. As a Course Mentor, you will support students by acting as an advisor, counselor, and support system as they complete the course and land their first industry job. To achieve this, you will engage with students using the below range of approaches, known as Engagement Formats. Course Mentors are expected to provide support across all formats when needed. \n\n\n\n* Mentor Sessions: Meet with students 1-on-1 in online video sessions to provide technical and professional support as the student progresses through the curriculum.\n\n* Group Sessions: Host online video sessions on topics of your expertise (in alignment with curriculum offerings) for groups of student seeking live support between mentor sessions. \n\n* Grading: Reviewing student checkpoints submissions and delivering written feedback, including analysis of projects and portfolios. \n\n* Technical Coaching: Provide in-demand support to technical questions and guidance requests that come to the Technical Coaching team through text and video in a timely manner. This team also provides the TA support for immersive programs. \n\n* Assessments & Mock Interviews: Conduct 1-on-1 mock interviews and assessments via video calls and provide written feedback to students based on assessment rubrics. \n\n\n\n\nIn addition to working directly with students, Course Mentors are expected to maintain an environment of feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment.\n\nRequirements\n\n\n* Minimum of 1 year professional experience as a Data Scientist or demonstrated expertise with data visualizations and machine learning at an industry level\n\n* Proficiency in SQL, Python\n\n* Professional experience with Hadoop and Spark a plus\n\n* Excellent written and verbal communication\n\n* High level of empathy and people management skills\n\n* Must have a reliable, high-speed Internet connection\n\n\n\n\nBenefits\n\n\n* This is a part-time role (10-25 hours a week)\n\n* Fully remote position, with the option to work evenings and weekends in person in 22 US cities\n\n* Community of 500+ like-minded Educators looking to impact others and keep their skills sharp\n\n* Full access to all of Thinkful Courses for your continued learning\n\n* Grow as an Educator\n\n\n\n\nApply\nIf you are interested in this position please provide your resume and a cover letter explaining your interest in the role.\n\nThinkful can only hire candidates who are eligible to work in the United States.\n\nWe stand against any form of workplace harassment based on race, color, religion, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status. Thinkful provides equal employment opportunities to all employees and applicants. If you're talented and driven, please apply.\n\nAt this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming\n\n\nClick here to apply 

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Crisp

 

Data Scientist

Data Scientist  


Crisp


data science

data science

25d
\nCrisp is a remote-only company and we give our employees the opportunity to solve problems in the global food industry while living and working wherever you are most comfortable. We believe in transparency, diversity, merit and fostering a culture of accountability, personal impact and career growth.\n\nAs a member of the first product engineering team at Crisp you have will have a unique opportunity to turning previously scattered and inconsistently structured data into directly actionable food industry insights to reduce waste, increase freshness and much more.  \n\nYou have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - now only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data might could help us further bolster our conclusions.  You love engaging with customers, learn about their challenges and then dive into the data to see how to solve them!\n\nWe are building a product engineering team with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific educational background, technology, experience or geographical location.  We are however looking for specific traits in the people we work with. You might not yet be able to check all of the boxes, but at least you aspire to do so! \n\nSigns of a great candidate Toolbox oriented. Whether your background is in mathematics, statistics, machine learning, artificial intelligence, or something else, you have enough experience to intuitively shortlist tools and approaches from most of these disciplines. \n\nUnderstanding business and customer needs.  You believe in creating models that will help the company and make short- and long-term impact, focusing on“bang-for-the-buck”. \n\nPerformance recognized by your peers. Past colleagues would love to work with you again.\n\nStarter and finisher. You often identify a problem, design a solution and bring it to a state of completion - alone or with collaborators. You’ve worked with developers in the past, hope to continue doing so, but you would get far even without technical help.\n\nWork hard and smart. Your work ethic is unquestioned, and you know how to get things done so you can balance your work and personal life in a sustainable way.\n\nDisciplined and reliable. We are a remote company and you enjoy the benefits of working remotely while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.\n\nCollaborative. You know that your team members’ perspectives will make your solutions better. Similarly, you use your strengths to make the team perform.\n\nAppreciation of honest feedback. You know that the best way to learn and grow is through constructive feedback delivered kindly, but without unnecessary ambiguity. You feedback given to as an opportunity to get better and strive to do the same for others.\n\nAnalytical and practical mind. You strive for simple, precise solutions to complex problems. Complex solutions are only acceptable when absolutely needed. 

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Amida Technology Solutions

 

Data Analyst

Data Analyst  


Amida Technology Solutions


analyst

data science

analyst

data science

26d
\nAmida Technology Solutions is a DC-based technology company focused on solutions for data interoperability, data utility, and data security. We create open source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. We specialize in taking data from inception to impact.\nOur team is comprised of creative, forward thinkers who are passionate about using cutting edge technology to make a difference in people's lives and have a positive impact on our country. We offer an entrepreneurial, high growth environment that values fresh ideas, candid conversations, and authentic teamwork.\nAmida is currently looking for a Data Analyst to join our team in Washington DC or from a remote location within the continental US. In this role you will work across our client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining and data modeling.  You will be responsible for inspecting, cleansing, transforming and modeling data and will address issues related to data completeness and quality, as well as contribute to and produce technical and data process documentation. \nWhat you will be doing:\n* Prepare and conduct analyses and studies, needs assessment, and requirements analysis to align systems and solutions\n* Apply analytical methodologies and principles to meet client needs.\n* Prepare forecast and analyze trends, develops and analyzes metrics, and prepares reports and recommendations related to management.\n* You will also be responsible for focusing on business performance, project analysis, internal control, risk assessment, and support of project objectives.\n\n\nWhat we are looking for:\n* B.S. and/or M.S. in a quantitative field such as Computer Science, Statistics, or Mathematics\n* Minimum 3-5 year of recent professional experience in data science, data mining and/or data analysis\n* Experience in data migration to include data mapping and data profiling\n* Prior experience working with Healthcare data, or in the Healthcare field\n* Ability to conduct data profiling and predictive analysis using a variety of standard tools\n* Programming proficiency in a subset of Python\n* Experience with data visualization tools and methodologies\n* Ability to communicate concisely and effectively with software engineers and clients\n* Ability to obtain a Public Trust security clearance\n\n\nPreferred Skills\n* Exposure to Amazon Web Services (AWS) and cloud-based systems\n* Previous experience working with government clients such as Dept. of Defense (DoD) or Dept. of Veterans Affairs (VA)\n* Prior experience with metadata management to include meta tagging\n* Previous experience working in an Agile Team setting and using Agile management tools such as Jira\n* Experience with machine learning, natural language, and statistical analysis methods to include classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and/or validation methods\n\n

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This year

Wallethub


Senior Data Scientist Global

verified

Senior Data Scientist Global


Wallethub

verified

data science

senior

data science

senior

1mo

Stats (beta): 👁 12 views,✍️ 0 applied (0%)
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours (8am - 7pm ET, including 1 hour break).\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Capital

 

Analytics Engineer Interested Data Science Finance

Analytics Engineer Interested Data Science Finance  


Capital


finance

data science

stats

engineer

finance

data science

stats

engineer

1mo
\nWho we are\n\nWe are a team of passionate and intellectually diverse individuals, who are building financial services that help companies grow to their fullest potential. We believe that fast, fair, and equitable access to financial intelligence can level the playing field for high performing and high potential companies at any stage in their financing.\n\nThe Capital Machine is a systematic financial analysis tool that functions like Bloomberg, but for private companies. Private companies connect their data to the machine and receive financing offers within hours from Capital’s balance sheet. On the back-end, the machine analyzes and benchmarks company data, facilitating data-driven engagement between those who invest capital and those who need it to scale their businesses.\n\nWhat you’ll contribute\n\nAs an Analytics Engineer at Capital, you will work on mission-critical problems related to building robust, scalable data pipelines and productionizing analytics. You understand basic probability theory, applied machine learning, and textual analysis. You’re comfortable writing tested, performant code to migrate ideas from the workbench to production. You love visualization and get excited about making data beautiful and intuitively accessible to end users. At Capital, you’ll develop fluency in the language of capital markets and finance. You are an effective communicator who is excited to build bridges between members of these communities and your own.\n\nWho you are\n\n\n* You have strong foundations in machine learning and probability theory, with demonstrated success working on applied challenges\n\n* You’ve mastered OOP in Python and have experience working on backend systems that are deployed to production environment\n\n* You understand fundamental software engineering concepts such as modularity, separation of concerns, data structures and interfaces, and computational complexity\n\n* You’ve implemented unit and functional testing as part of a continuous integration workflow\n\n* You have a good eye for data visualization and experience with static (e.g. ggplot2, Plotly) and dynamic (e.g. Dash, Bokeh) toolkits\n\n* You have solid written and verbal communication skills, with the ability to bridge the gap between those who do and don’t speak fluent “data”\n\n* You’ve worked with a distributed processing framework, such as spark, hive, or hadoop\n\n* You have experience implementing workflow/scheduling frameworks such as luigi or airflow\n\n* You have experience working on--or are interested in learning about and attacking--hard financial problems\n\n\n\n\nHow you'll be supported at Capital\n\n\n* Unlimited PTO and flexible WFH policy\n\n* Learning stipend to pursue any kind of professional development or continuing education related or not related to your field\n\n* Platinum medical, vision and dental coverage and OneMedical membership for you and your dependents. Includes FSA & HSA options\n\n* Unlimited parental leave plus fertility benefits\n\n* 401k plans and co-investment opportunities so you can be a part of Capital's stellar investment performance\n\n* Stipends for wellness, transportation, and electronics (laptops, headphones, monitors - anything you need to do your best work)\n\n* Stocked office with 24/7 access and custom workstations\n\n* Another request? Just let us know!\n\n\n

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LiteracyPro Systems

 

Senior Data Analyst

Senior Data Analyst  


LiteracyPro Systems


analyst

data science

senior

analyst

data science

senior

1mo
\nJob Title: \n\nSenior ETL/Data Analyst (Contractor or Contract-to-Hire Position - we're open to both)\n\n\n\nBrief Job Description:  \n\nLiteracyPro creates software for social good. Our data collection and reporting software helps government and community-based organizations help hundreds of thousands of disadvantaged people improve their opportunities to get jobs with sustainable, living wages for themselves and their families. Enjoy being part of a fun group of bright, passionate folks, in a great working environment, with generous salary & benefits while helping those who help others.\n\nOur newest product, CommunityPro Suite (CPS), is a growing SaaS case management, referral, reporting and analysis enterprise application that enables hundreds of agencies to securely match, consolidate and share data in real time. The purpose of the software is to reduce organizational friction by helping local agencies better collaborate to help people achieve economic self-sufficiency for themselves and their families. The end-goal of CPS is to play an important role in helping to create healthy, vibrant communities in this country and the world.\n\nOur Company is experiencing explosive growth due to increasing national demand for our software, and we’re looking for that rare, accomplished data analyst who wants to do good, get paid well and have fun doing it. We’re seeking someone with an energizing leadership style, and who has the smarts, passion and people skills to guide our efforts on all aspects of the data management process, including: on-boarding; acquisition; attribution; transformation; and reporting of newly acquired data sets to provide high-quality data supporting analytics and our clients’ needs in a timely fashion.\n\nGiven the highly execution-focused nature of the work, the ideal candidate will roll up their sleeves to ensure that their projects meet deadlines and will always look for ways to optimize processes in future cycles.\n\n\nResponsibilities:\n\nThis position has the primary responsibility for the acquisition, transformation, and maintenance of data for our primary SAAS application. This data is interchanged from and returned to an increasingly diverse set of third-party source systems.\n\n\n* Conduct in-depth data profiling and data quality assessments of data received from multiple source systems to determine the current level of data accuracy, conformation to standards, reporting requirements, etc.\n\n* Investigate data flow issues by discovering system states that prevent successful job completion (source systems, infrastructure, etc.).\n\n* Identify and analyze the errors/inconsistencies in the data; provide timely resolutions for data lineage and data cleansing.\n\n* Build and validate a data quality framework with alerts for data discrepancies.\n\n* Work with the product owner/system owner, development, and QA teams to ensure alignment and proper interpretation of complex data requirements.\n\n* Develop technical documentation, including requirements documents, process overviews, data models, data flow, and ETL jobs.\n\n\n\n\nExperience and Qualifications:\n\n\n* 6+ years performing analysis and building data processes.\n\n* 6+ years of experience with ETL tasks such as reviewing business requirements, developing and troubleshooting data cleansing and loading solutions, preparing solution documentation, data dictionaries, metadata repositories, and database security.\n\n* 6+ years of industry experience with the development and implementation of enterprise-level data warehousing and supporting business intelligence initiatives, particularly focused on star schema data modeling.\n\n* 6+ years of experience with database design, including mastery of complex report queries and SQL optimization.\n\n* Experience with MySQL, Amazon Web Services, Microsoft Azure. Experience with Pentaho CE a plus!\n\n* Familiarity with the data security and privacy requirements of FERPA, HIPPA, SOC2 and related industry and legal standards\n\n\n\n\n\n* Degree in Computer Science, Information Systems, Mathematics, or equivalent quantitative field\n\n\n

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Blue Orange Digital

 

Data Scientist

Data Scientist  


Blue Orange Digital


data science

data science

1mo
\nJob Description\n\n\n\nYou will be joining a highly talented team of engineers working on a custom hiring and talent mapping application. We are helping a large company leverage their data to find the perfect candidates. This ranges from predictive models to answering other very open-ended questions. We have a range of projects from \n\nThis is a remote position that can be done from anywhere. \n\nResponsibilities:\n\n\n* Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, identify opportunities, discover solutions, and deliver actionable business insights.\n\n* Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.\n\n* Handle both parts of the Research & Development process, including clean, rigorous implementations of devised models inside our Analytics system.\n\n* Communicate data-driven insights and recommendations to key stakeholders.\n\n* Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.\n\n\n\n\nRequirements:\n\n\n* A strong background in advanced mathematics, in particular in probability theory and statistics, data mining, and machine learning.\n\n* Comfortable working with messy structured data sets and turning them into machine learning products\n\n* Experience in Natural Language Processing (keyword extraction and sentiment analysis)\n\n* You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights.\n\n* 4+ years of professional experience in data science, doing exploratory data analysis, testing hypothesis, and building predictive models.\n\n* Ability to quickly and accurately understand complex new concepts.\n\n* Proficiency in Python and previous experience efficiently conducting research and creating ad hoc reports.\n\n* Familiarity with Scala/Spark a plus\n\n* Be excited about collaborating daily with your team and other groups while working via a distributed model.\n\n* Be eager to help your teammates, share your knowledge with them, and learn from them.\n\n\n

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Wallethub


Lead Data Scientist Global

verified

Lead Data Scientist Global


Wallethub

verified

exec

data science

exec

data science

1mo

Stats (beta): 👁 42 views,✍️ 0 applied (0%)
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours (8am - 7pm ET, including 1 hour break).\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Hotjar


Data Analyst

Data Analyst


Hotjar


analyst

data science

analyst

data science

1mo
\nNote: Although this is a remote position, we are only looking for candidates in timezones between UTC-1 and UTC+3.\n\n\nAt Hotjar we’re on a mission to build the leading user feedback and analytics platform, with our product being used by over 915,000 users in 190 countries. As part of our Business Intelligence team, you will make data-driven recommendations on strategy and keep a finger on the pulse of our business.\n\n\nWe work in an agile and highly collaborative environment, 100% remotely, and challenge the norms of traditional business leadership. Our focus is on true transparency and respect.\n\n\nWe’re looking for someone who loves to turn data into insights and communicate findings fearlessly. You want to help teams make data-informed decisions and take data-informed actions, you have a curious mindset, and you are motivated to understand our business better.\n\n\nYou will: \n\n\n* \n\nIdentify and analyze trends or patterns in complex data sets\n\n\n* \n\nDevelop and implement databases, data collection systems, data analytics and other strategies that improve statistical efficiency and quality\n\n\n* \n\nFilter and “clean” data by reviewing multiple data sources and performance indicators to locate and correct inconsistencies.\n\n\n* \n\nSupport scoping complex data-centric projects across multiple teams and systems, and work on deliverables to promote bias to action\n\n\n* \n\nBuild data models to accelerate the business by providing deeper insights into visitor and customer behaviors, and feed the team’s hunger for actionable insights\n\n\n* \n\nAssist our teams in defining, tracking and optimizing processes, tools, and dashboards for better planning and management of the business\n\n\n* \n\nHelp analyze the effectiveness of new solutions to inform whether to double down, pivot, or eliminate a new feature or process\n\n\n* \n\nSelect and integrate new technologies to promote better segmentation and attribution\n\n\n\n\n\n\n\nRequirements\n\n\n\n* Experience in analytics/data science or a directly related field – some of which is in a technology environment\n\n* \n\nExperience initiating and delivering applicable analyses/recommendations to guide impact\n\n\n* \n\nExcellent skills with analytics tools, fluency with BI/visualization tools such as Mode, Tableau, etc and knowledge of Excel, R, Python, SQL, or other analysis tools\n\n\n* \n\nAn understanding of SaaS business models and essential metrics\n\n\n* \n\nExperience implementing and integrating an event tracking platform\n\n\n* \n\nCritical-reasoning skills, including the understanding of common pitfalls of data analysis\n\n\n* \n\nA desire to work in a respectful, transparent, and transparent work environment, following Hotjar’s company values, culture and ways of working\n\n\n* \n\nMust submit to a background check confidentially processed by our third-party \n\n\n\n\n\n\nPlus points:\n\n\n* \n\nExperience with building predictive data models to provide deeper insights\n\n\n* \n\nKnowledge of statistics and experience using statistical packages for analyzing datasets\n\n\n\n\n\n\nWhat we offer\n\n\n* \n\nA remote and accomplished diverse and international team\n\n\n* \n\nAn opportunity to positively enhance people’s experience online and make the web a better place\n\n\n* \n\nAnnual learning and development budget\n\n\n* \n\nSeveral perks designed for your well-being and a healthy work-life balance. (Holiday Budget, Wellbeing Allowance, Working Together Budget, 16 weeks paid parental leave, and much more)\n\n\n\n\n\n\nCompensation Range\n\nThe budgeted compensation range for this role is €50,000 to €70,000 annually. Ranges are based on market research and are equitable to other roles within Hotjar. The actual compensation offered will be based on relative experience. At this time we are only able to provide official employment status to those located in Malta, and Germany (for candidates who don’t require visa sponsorship). All other team members will join as full-time consultants and will be responsible for paying any taxes or applicable fees where they reside.

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a mediocre corporation


Data Scientist

Data Scientist


a mediocre corporation


data science

data science

2mo
\nA Mediocre Corporation is looking for extraordinary Data Scientists to work alongside our teams in order to provide analytical support to a variety of projects (for example: email targeting, business optimization, customer recommendations). You’ll be responsible for conducting advanced statistical analysis and working with cross functional teams of technical and non-technical members to help drive innovative business solutions. If this doesn’t sound like the most mediocre job in data science then we’d like to talk to you. But only if you’re an amazing rock star, or a ninja, or a zombie hunter, or whatever term all the cool recruiters are throwing around these days.\n\nYou can expect to conduct statistical analysis of big data sets to identify trends and provide actionable insights. You’ll be asked to measure the performance and results of various data experiments. You’ll also be working with our engineering team to help define and manage our big data infrastructure and to develop new products (including assisting with data architecture and modeling).\n\nYou’ll be expected to research new trends in the industry and utilize up-to-date technology and analytical skills to attack each project. Ideal candidates are those that have experience moving data projects forward by acquiring and converting data into useful formats when necessary.\n\nWe’re looking for someone who has:\n\n\n* Years of experience as a Data Scientist working closely with business stakeholders to give actionable insights.\n\n* Strong coding ability in Python, including experience with various data science libraries such as pandas.\n\n* Experience with a variety of data stores and technologies such as PostgreSQL, MongoDB, and InfluxDB.\n\n* Experience working with large data sets and distributed computing tools.\n\n\n

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Qntfy


Data Scientist

Data Scientist


Qntfy


data science

data science

2mo
\nApply Here\n\nQntfy is looking for an experienced and motivated data scientist to join our research and development team. Qntfy is a small (but growing) company offering a diverse array of products and services. As a result, data scientists at Qntfy tend to wear a greater number of hats than they might at larger organizations. This can range from occasionally interfacing directly with customers in a consultative role to preparing papers and presentations for academic journals or conferences (see here to get a sense of our recent work). We recognize that “data science” is a broad term, and that highly qualified data scientists come from a wide variety of backgrounds and career trajectories. As such, we do not have a rigid checklist of qualifications, but we do expect successful candidates to be able to demonstrate extensive experience with most of the qualifications below. Similarly, we do not have strict educational requirements for data scientists, but of course advanced degrees in quantitative disciplines (broadly construed) are viewed favorably. Our current team of data scientists have backgrounds in bioengineering, cognitive science, psychology, neuroscience, and chemistry.\n\nU.S. Citizenship Required\n\nResponsibilites\n\n\n\n\n* Prototype machine learning models of natural language and human behavioral data.\n\n* Conduct bespoke analyses using inferential statistics for internal and external clients.\n\n* Work directly with Qntfy engineers to add data science features to our products.\n\n* Communicate with peers, customers, and partners to foster cooperation and development.\n\n* Effectively estimate time to implement designs.\n\n\n\n\n\n\nQualifications\n\n\n\n\n* Common machine learning algorithms and/or advanced inferential statistical techniques.\n\n* Standard Python data science tools (e.g., Pandas, scikit-learn; some of us have a soft spot for R and use it occasionally, but we expect data scientists to largely adhere to a Python-based ecosystem).\n\n* Common flavors of SQL and SQL databases.\n\n* Linux operating systems.\n\n* Analysis of natural language data.\n\n* Analysis of (especially observational) human behavioral data (e.g., survey data, psychological inventories).\n\n* Basic project management tools and processes.\n\n* Communicating the results of quantitative work, orally and in writing, to technical and non-technical audiences.\n\n\n\n\n\n\nPreferred Qualifications\n\n\n\n\n* Experience with deep learning frameworks.\n\n* Experience with technologies from the following list: Kafka, Docker, Mesos, Marathon, Kubernetes, Go.\n\n* Knowledge of, or experience with, behavioral science, psychology, mental health, and/or the healthcare industry.\n\n\n\n\n\n\nQntfy is committed to fostering and supporting a creative and diverse environment. Qntfy is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

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SemanticBits


Data Scientist

Data Scientist


SemanticBits


data science

data science

3mo
\nDescription\n\nSemanticBits is looking for a Data Scientist eager to use advanced analytical and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information.\n\n\nSemanticBits is a leading company specializing in the design and development of digital health services, and the work we do is just as unique as the culture we’ve created. We develop cutting-edge solutions to complex problems for commercial, academic, and government organizations. The systems we develop are used in finding cures for deadly diseases, improving the quality of healthcare delivered to millions of people, and revolutionizing the healthcare industry on a nationwide scale. There is a meaningful connection between our work and the real people who benefit from it; and, as such, we create an environment in which new ideas and innovative strategies are encouraged. We are an established company with the mindset of a startup and we feel confident that we offer an employment experience unlike any other and that we set our employees up for professional success every day.\n\n\nRequirements\n\n\n* Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or a related field and a minimum of four years of relevant experience or a Master’s degree with a minimum of two years experience\n\n* Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization)\n\n* Solid experience with Python and/or R and common data science packages - e.g. pandas, scikit-learn, matplotlib, ggplot, plyr, etc.\n\n* Dataset parsing, dataset merging, dataset analysis, dataset synthesis\n\n* Familiarity with controlled vocabularies (e.g. UMLS, SNOMED, etc.)\n\n* Strong knowledge of databases (relational, OLAP, and NoSQL)\n\n* Experience with Medicare claims is highly desirable.\n\n* Experience with the following technologies is also highly desirable: Jupyter, Apache Superset, Spark, Hadoop, Tableau, Looker, Dremio, AWS cloud computing\n\n* Experience in the healthcare domain, or with quality data sets is highly desirable.\n\n* Strong technical communication skills; both written and verbal\n\n* Ability to understand and articulate the “big picture” and simplify complex ideas\n\n* Strong problem solving and structuring skills\n\n* Ability to identify and learn applicable new techniques independently as needed\n\n\n\n\n\nBenefits\n\n\n* Generous base salary\n\n* Three weeks of PTO\n\n* Excellent health benefits program (Medical, dental and vision)\n\n* Education and conference reimbursement\n\n* 401k retirement plan. We contribute 3% of base salary irrespective of employee's contribution\n\n* 100% paid short-term and long-term disability\n\n* 100% paid life insurance\n\n* Flexible Spending Account (FSA)\n\n* Casual working environment\n\n* Flexible working hours\n\n\n\n\n\nSemanticBits, LLC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. We are also a veteran-friendly employer.

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**Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nTo help us better drive data-driven product decisions and strategy, we’re looking for a skilled and curious data analyst. We believe that data-driven decision making is key to our success and your skills, curiosity, and experience will play a crucial role in building the future of outdoor experiences.**\n\n# Responsibilities\n **What will you do**\n* Turn events and data into actionable insights\n* Develop analysis to drive product and business decisions and company strategy\n* Design and implement metrics, dashboards, and continuous reports\n* Communicate and discuss findings to different audiences (Co-founders, marketing, product, sales, etc.)\n* Develop approaches to answer key questions with data analytics\n* Consult and mentor our junior data analyst\n* Organize and prioritize tasks of our data analytics roadmap\n* Be an evangelist of data-driven decision-making\n\n**Why you will love it**\n* You’ll be a key player in making product development, marketing, and business decisions\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n* You’ll have the liberty to develop data analytics at komoot, technically and organizationally\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides \n\n# Requirements\n**You will be successful in this position if you**\n* Have a burning desire to transform data into actionable insights\n* Have 3+ years of experience in evaluating marketing campaigns, cohort analysis, A/B testing and retention\n* Have strong and proven skills in SQL and Pandas\n* Have strong communication skills\n* Have Python and statistical skills\n* Have a good overview of technical solutions in the data analytics field\n* Have a hands-on attitude and are highly self-driven\n\n**Sounds like you?**\nThen send us the following:\n* Your CV\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. Dashboards, PDFs, Slideshare, etc.)\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account

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Wallethub


Senior Data Scientist

verified

Senior Data Scientist


Wallethub

verified

data science

senior

data science

senior

4mo
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* \n\nSelecting the best financial products for your needs\n\n\n* \n\nTaking the right actions to improve your credit score\n\n\n* \n\nAnticipate your future financial health based on your current financial status and history\n\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* \n\nAt least 8 years experience in Java, Spring and MySQL (or any relational database) and Python.\n\n\n* \n\nAt least 5 years of experience as a Data Scientist.\n\n\n* \n\nExperience with databases (including NoSQL).\n\n\n* \n\nExperience in machine learning frameworks and libraries.\n\n\n* \n\nSupervised and Unsupervised learning.\n\n\n* \n\nMachine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM).\n\n\n* \n\nExperience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive).\n\n\n* \n\nComputer Science or Mathematics or Physics degree.\n\n\n* \n\nExcellent communication and analytical skills.\n\n\n* \n\nWillingness to work hard (50 hrs per week).\n\n\n* \n\nVery good English\n\n\n\n\n\nNice to have but not required\n\n\n* \n\nExperience with Apache Spark.\n\n\n* \n\nNatural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization).\n\n\n* \n\nR programming language.\n\n\n\n\n\nResponsibilities\n\n\n* \n\nModeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.\n\n\n* \n\nParticipating in the areas of architecture, design, implementation, and testing.\n\n\n* \n\nProposing innovative ways to look at problems by using data mining approaches on the set of information available.\n\n\n* \n\nDesigning experiments, testing hypotheses, and building models.\n\n\n* \n\nConducting advanced data analysis and designing highly complex algorithm.\n\n\n* \n\nApplying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.\n\n\n\n\n\nOur Offer\n\n\n* \n\nVery competitive salary based on prior experience and qualifications.\n\n\n* \n\nPotential for stock options after the first year.\n\n\n* \n\nRaise and advancement opportunities based on periodic evaluations.\n\n\n* \n\nVisa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n\n* \n\nHealth benefits (in case you will be working from our office in Washington DC).\n\n\n\n\n\nNotes \n\n\n* \n\nThis position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n\n* \n\nIf you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n* Candidates with less than 8 yrs of experience will not be considered.\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Luna

 

Senior Data Scientist

Senior Data Scientist  


Luna


data science

senior

data science

senior

4mo
\nOverview\n\nLuna is looking for a senior data scientist to help develop data science libraries and pipelines for clients using Luna, a project said by NASA and Singularity University to be 1 of 20 most impressive technologies worldwide. If you bring strong analytical and technical skills, and have a passion for data, this could be the role for you.\n\nAs a Senior Data Scientist at Luna, you'll be instrumental in the design and development of custom solutions and pipelines to help our customers and clients get the results that they need when working with Luna. You'll be able to collaborate with a team of world-class engineers, community managers, and business developers (from Bloomberg, PayPal, and GitHub, amongst others) to make your mark on this project's future.\n\nWhat You'll Do\n\nAs a senior data scientist at Luna, you'll be in charge of developing both libraries and pipelines for customers and the wider community. This will involve:\n\n\n* Working closely with key stakeholders and customers to develop and tailor customised data-analysis toolkits and pipelines to fit their needs.\n\n* Using your experience to inform design choices regarding Luna, especially around its support for data-analysis and machine-learning workflows.\n\n* Working closely with internal teams to ensure that the product evolves to make such uses as simple and easy as possible.\n\n* Contribute to the growth and success of a vibrant open-source project and its greater ecosystem.\n\n\n\n\nThe Skills We're Looking For\n\nWe have a particular set of skills that we're looking for in this role:\n\n\n* 5+ years of practical experience working with data-science pipelines for performing automated analysis, predictive analytics, or machine learning.\n\n* Practical experience with existing data-science toolkits such as Keras and Tensorflow.\n\n* An interest in building new data-science tools and pipelines.\n\n* Practical experience with at least one functional programming language, preferably Haskell. Please note that this does not count languages (such as Python), that enable limited forms of functional programming.\n\n* An interest in working with clients and users to create solutions that fit their needs and enhance their work.\n\n\n\n\nIt would be a big bonus if you also had:\n\n\n* Experience building customized data-science pipelines, tailored to particular tasks.\n\n* Experience in the deployment of data-science solutions.\n\n\n

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Motiion

 

Data Scientist

Data Scientist  


Motiion


data science

data science

4mo
\nMotiion is a technology and data company for the food industry. We believe in transparency, diversity, merit and fostering a culture of accountability, personal impact and career growth.\n\nAs a member of the first product engineering team at Motiion you have will have a unique opportunity to turning previously scattered and inconsistently structured data into directly actionable food industry insights to reduce waste, increase freshness and much more.  \nYou have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - now only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data might could help us further bolster our conclusions.  You love engaging with customers, learn about their challenges and then dive into the data to see how to solve them!\n\nWe are building a product engineering team with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific educational background, technology, experience or geographical location.  We are however looking for specific traits in the people we work with. You might not yet be able to check all of the boxes, but at least you aspire to do so! \n\nSome signs of a great candidate:\n\n\n\n* Toolbox oriented. Whether your background is in mathematics, statistics, machine learning, artificial intelligence, or something else, you have enough experience to intuitively shortlist tools and approaches from most of these disciplines. \n\n* Understanding business and customer needs.  You believe in creating models that will help the company and make short- and long-termimpact, focusing on“bang-for-the-buck”. \n\n* Performance recognized by your peers. Past colleagues would love to work with you again.\n\n* Starter and finisher. You often identify a problem, design a solution and bring it to a state of completion - alone or with collaborators. You’ve worked with developers in the past, hope to continue doing so, but you would get far even without technical help.\n\n* Work hard and smart. Your work ethic is unquestioned, and you know how to get things done so you can balance your work and personal life in a sustainable way.\n\n* Disciplined and reliable. We are a remote company and you enjoy the benefits of working remotely while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.\n\n* Collaborative. You know that your team members’ perspectives will make your solutions better. Similarly, you use your strengths to make the team perform.\n\n* Appreciation of honest feedback. You know that the best way to learn and grow is through constructive feedback delivered kindly, but without unnecessary ambiguity. You feedback given to as an opportunity to get better and strive to do the same for others.\n\n* Analytical and practical mind. You strive for simple, precise solutions to complex problems. Complex solutions are only acceptable when absolutely needed. \n\n\n\nWhy we are different\nOur main goals with Motiion are easy to explain: We want to build a company that we would like to enjoy spending the rest of our careers in, that has a positive impact on the world and that will outlast us. Achieving these goals will be challenging, but we know we can do it. Here’s why:\n\nA strong founder team\nWe, the founders, have a proven track record of building successful companies from scratch. We will take all of the amazing and painful experiences of the past and apply them to create a company we all will be very proud of.\n\nSelf-funded\nThe founders have invested $10 million to allow us to focus on building technology and product the right way. Our eyes are on the goals of building a global technology platform. We are laser focused on customer needs, but will make product priorities based on our long-term goals, not short-term revenue.\n\nRemote-first\nWe believe technology that enables remote work to be better than a corporate office setting is already here and the world of business is just about to catch up. Remote work certainly comes with drawbacks, but the strongly believe the advantages vastly outnumber the disadvantages. Speaking to dozens of experienced remote employees has shown us that the number one obstacle to building a successful remote workplace is doing it half-way by having some people be co-located and some remote. We want the same mode of collaboration for everyone and our team will be working remotely most of the time.\n\nThis does not mean that you have to work from home all the time, or at all. Motiion will pay for co-working space if that’s what you prefer. We will also encourage team members that live in the same area to meet up and work together when it makes sense. We will also make sure we all meet regularly for real in-person interaction!\n\nPersonal impact of collaborating individuals\nWe have seen first-hand how corporate culture can devolve into empire building and reporting lines. Motiion will have great managers, but we recognize and value the skills of individual contributors. You can grow your career at Motiion doing the work you love and excel at. Your merit matters, not your title.\n\nBenefits\nWe have top notch benefits, matching most of the large US tech companies, including 401k matching, excellent health insurance and a generous vacation policy.

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Thinkful


Data Science Course Mentor

Data Science Course Mentor


Thinkful


data science

data science

4mo
\nData Science Course Mentor\n\n\n* Mentorship\n\n* Remote\n\n\n\n\n\n* Part time\n\n\n\n\n\n\nWho We Are\n\nThinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. The company provides 1-on-1 learning through its network of industry experts, hiring partners, and online platform to deliver a structured and flexible education. Thinkful offers programs in web development and data science, with in-person communities in up-and-coming tech hubs around the U.S.\n\n\n\nAbout the Role \n\nThinkful’s Flexible Data Science course pairs personalized mentorship with a curriculum tailored to launch aspiring data scientists’ careers. Join us in helping motivated learners get to those aha! moments. As a Flexible Data Science Course Mentor, you will help your student(s) master everything from fundamental statistics to building a machine learning model in their domain of choice.\n\n\nResponsibilities\n\n\n* Motivate & foster best practices with your student(s) as they work to build project management skills, a strong portfolio, and the confidence to network and interview for jobs.\n\n* Work with Program Managers to provide detailed feedback on student success, including struggles or technical mastery issues.\n\n* Meet one-on-one with your student(s) in hour-long sessions, held twice per week.\n\n\n\n\nRequirements\n\n\n* Minimum of 1 year professional experience as a Data Scientist or demonstrated expertise with data visualizations and machine learning at an industry level\n\n* Proficiency in SQL, Python\n\n* Professional experience with Hadoop and Spark a plus\n\n* Excellent written and verbal communication\n\n* High level of empathy and people management skills\n\n* Must have a reliable, high-speed Internet connection\n\n\n\n\nBenefits\n\n\n* This is a part-time role (10-25 hours a week)\n\n* Fully remote position, with the option to work evenings and weekends in person in 22 US cities\n\n* Community of 500+ like-minded Educators looking to impact others and keep their skills sharp\n\n* Full access to all of Thinkful Courses for your continued learning\n\n* Grow as an Educator\n\n\n\n\nApply on our website:\nhttps://hire.withgoogle.com/public/jobs/thinkfulcom/view/P_AAAAAAEAAADC9Bx7fyGYVv\n

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komoot


Data Analyst

Data Analyst


komoot


analyst

data science

analyst

data science

5mo
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \nTo help us better drive data-driven product decisions and strategy, we’re looking for a  skilled and curious data analyst who will play a crucial role in building the future of outdoor experiences.\n\nWhat will you do\n\n\n* Turn events and data into actionable insights\n\n* Develop analysis to drive product and business decisions and company strategy\n\n* Design and implement metrics, dashboards, and continuous reports\n\n* Communicate and discuss  findings to different audiences (Co-founders, marketing, product, sales etc.)\n\n* Working closely with teams throughout the company\n\n* Be an evangelist of data-driven decision-making\n\n\n\n\n\n\nWhy you will love it\n\n\n* You’ll be a key player in making product development, marketing and business decisions\n\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n\n* You’ll work with a modern and powerful cloud analytics platform based on AWS\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a burning desire to transform data into actionable insights\n\n* Have 2+ years of relevant experience interpreting data\n\n* Have strong and proven skills in SQL and Pandas\n\n* Have strong communication skills\n\n* Have fundamental Python and statistical skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. Dashboards, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account\n\n\n

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Thrive Global


Team Lead Data Science Data Engineering

Team Lead Data Science Data Engineering


Thrive Global


exec

data science

engineer

exec

data science

engineer

8mo
\nDescription\n\nThrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As the Lead of the Data Engineering and Data Science team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering leader with the ability and desire to be both hands-on and lead a team.\n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* A willingness to take on a broad set of responsibilities from working with the product and engineering team to define architecture and infrastructure to supporting our data engineering efforts, building out data pipelines, building and testing models, putting those models into production and refining them as needed. To do this you will need to hire and grow a small team of technologists that complement your skillset and that of the existing team.\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Build a small but skilled team that will leverage data to provide recommendations and nudges to users that encourage them to master positive behavior change.\n\n* Work with the team to design and build out production grade data processing tools and infrastructure. \n\n* Work with the team to define hypotheses, conduct experiments, construct prototypes and build and train models to support the use cases required by our behavior change products. \n\n* Work with the team to put models into production.\n\n* Consider user privacy and security at all times.\n\n\n\n\nDesired Skills\n\n\n* 2+ years experience leading a data engineering, data science, or machine learning team.\n\n* 5+ years of industry experience with data engineering, data science or machine learning.\n\n* Extensive programming experience in Java or Python.\n\n* Experience with AWS SageMaker, TensorFlow, or other cloud frameworks. \n\n* Familiar with various machine learning techniques and libraries.\n\n* BA/BS or MS in Computer Science, or equivalent experience.\n\n* A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.\n\n\n\n\nOur Mission\n\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n

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eMoney Advisor


Senior Data Scientist

Senior Data Scientist


eMoney Advisor


data science

senior

data science

senior

8mo
\nWe are looking for a Senior Data Scientist to leverage machine learning across the entire eMoney technology portfolio. You will identify, prototype, and deliver high-impact data driven solutions for our products. You will work with our product and development teams to implement machine learning initiatives, setting data science standards and strategy. This role requires a breadth of technology and communication skills to influence and lead the strategic directions.\n\nJob Responsibilities\n\n\n* Develop key Machine Learning solutions and own the execution pipeline; develop prototypes, implement production models, and work with Product, Ops, and App Development teams to ensure business value is fully realized\n\n* Develop core AI capabilities, e.g., MLAAS, data science architecture, to support machine learning and analytics use cases across all products\n\n* Help set AI and ML strategy across organization, identifying, prioritizing, and capturing high-impact business opportunities for Data Science and AI across entire eMoney portfolio\n\n* Explore new use cases and AI technologies for potential integration into eMoney\n\n* Ensure adoption of ML and Data Scientific approaches, providing guidance and internal consulting to software engineers, business owners, other data scientists\n\n\n\n\nRequirements\n\n\n* 2 years working in a data science role\n\n* 4 years of software development experience\n\n* Master’s degree in related field or equivalent years of related experience\n\n* Experience with a variety of Data Science modeling use cases, including customer retention, marketing, digital analytics, segmentation, propensity modeling, etc.\n\n* Experience with data engineering, including consumption of data from relational and non-relational databases, flat files, etc.\n\n* Experience with integration with multiple internal and external systems\n\n* Experience in working in an agile environment to quickly iterate and deliver features to users\n\n* Experience in fintech strongly preferred \n\n\n\n\nSkills\n\n\n* In depth knowledge of software development technologies and best practices for integration with data science: Python, Flask, Django\n\n* In depth knowledge of machine learning technologies: Spark, scikit-learn, deep learning frameworks (e.g., Tensorflow, PyTorch), computer vision, NLP (e.g., SpaCy, NLTK)\n\n* Strong written and verbal communication skills, ability to work with remote team members in virtual communication channels\n\n* Demonstrated ability to influence, communicate and lead technology and design decisions\n\n* Demonstrated abilities to communicate technology and product needs between product and engineering teams \n\n\n\n\n\neMoney Advisor is the creator of the leading wealth-planning technology for financial professionals and firms, offering the cutting-edge solutions needed to succeed as the regulatory environment shifts, investor expectations change, and the industry landscape becomes increasingly competitive. Not only do our solutions help financial professionals streamline their workflow and add efficiency to their business, they also — more importantly – create an unmatched, interactive client experience that builds trust and strengthens the advisor-client relationship. Though we’re driven to lead through innovation, the defining principle of eMoney’s existence will always remain the same: an unwavering dedication to helping advisors and their clients succeed.

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Wallethub


Sr Data Scientist

verified

Sr Data Scientist


Wallethub

verified

data science

data science

8mo
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 5 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Hugo Health


Healthcare Data Analyst Scientist

Healthcare Data Analyst Scientist


Hugo Health


analyst

data science

analyst

data science

9mo
\nSUMMARY\n\nHugo is looking for a data scientist with an interest in the development of novel analytic approaches for healthcare data. The individual will work in a team environment to implement and deploy advanced analytic solutions for data integration, harmonization, and healthcare outcomes assessment.\n\nRESPONSIBILITIES\n\n* Model Development\n\n* Work with team to develop machine learning and natural language processing models for healthcare data management tasks\n\n* Develop innovative approaches for the use and analysis of real-world healthcare data\n\n* Implement data processing pipelines within development and production environments\n\n* Engage with customers in the development of analytic approaches for real-world healthcare data\n\n\n\n\n* Data Visualization\n\n* Development of data extracts and visualizations for internal and client-facing use\n\n* Integration of efforts with software development team to deploy analytics to web and/or mobile applications\n\n\n\n\n* Teamwork\n\n* Works closely with Director of Technology and development team to identify and create necessary analytic tools and visualizations\n\n* Creates and maintains regular status reports\n\n* Completes specific task activities as documented in work plans\n\n* Promotes a team atmosphere that is conducive to the overall accomplishment of goals, schedules, and deadlines\n\n* Openly shares information with all team members\n\n\n\n\n* Documentation\n\n* Documents data models and software architecture\n\n* Assists with implementation and deployment plans\n\n\n\n\n\n\nREQUIREMENTS\n\nEDUCATION: Bachelor’s degree or equivalent experience in healthcare, analytics, or software development\n\nEXPERIENCE: One to three years of experience in analytics, software development, or related work. Prior experience in healthcare or related field preferred.\n\nSPECIALSKILLS: Strong background in data analysis with a diverse set of platforms, such as Python. Experience with developing and accessing data from multiple sources, include web-based APIs, databases (SQL and NoSQL), and structured files such as JSON and XML. Knowledge of advanced analytic approaches, including supervised and unsupervised machine learning and natural language processing. Experience with version control and common software development practices required. Prior experience with the development of visual data representations, including matplotlib and/or D3, and their use in web applications preferred.

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nOur Insights & Solutions team is deliberate and self-reflective about the kind of team and culture that we are building, seeking analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data/analytics projects\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform\n* Play a key role in creating both product- and client-facing analytics\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours\n* Learn from experienced mentors and build your technical and non-technical skill sets\n\n**What we're looking for:**\n* B.S. or M.S. with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL, analytics in Excel and creating presentations in Microsoft Powerpoint and/or Apple Keynote. These skills are an absolute must\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior experience in creating client-facing deliverables and presentations\n\n**Fun facts about the Insights team:**\n* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections\n* The members of our team bring a diverse set of technical and cultural backgrounds\n* Business decisions at Doximity are driven by our data, analyses, and insights\n* We like to have fun - company outings, team lunches, and happy hours\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nOur data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform\n* Play a key role in creating both product- and client-facing analytics\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours\n* Learn from experienced mentors and build your technical and non-technical skill sets\n\n**What we're looking for:**\n* B.S. or M.S. in a quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Familiarity with Lean and Agile philosophies\n* Data storage solutions: Snowflake, HDFS, Neo4j, Elasticsearch\n* Workflow management: Airflow\n\n**Nice to haves:**\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n* We historically favor Python, Kafka, Spark, and MySQL (leveraging SQLAlchemy), but use other tools when appropriate for the job at hand\n\n**Fun facts about the Insights team:**\n* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections\n* The members of our team bring a diverse set of technical and cultural backgrounds\n* Business decisions at Doximity are driven by our data, analyses, and insights\n* We like to have fun - company outings, team lunches, and happy hours\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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Bark Technologies


VP Of Data Science

VP Of Data Science


Bark Technologies


data science

data science

10mo

Stats (beta): 👁 732 views,✍️ 0 applied (0%)
\nWhy Bark?\n\nAt Bark, we’re on a mission to keep children safe online, and do so in a way that saves parents time and helps parents build trust with their children. We use cutting-­edge machine­ learning technology to detect issues like cyberbullying, sexting, and signs of depression or suicidal thoughts.\n\nWe’re a multicultural, inclusive team of who consider empathy a core job skill. If this sounds like you, you might be the Data Scientist we’re looking for.\n\nAs a Data Scientist at Bark, you’ll be working on applying state-of-the-art machine learning and natural language processing (NLP) techniques to best detect problematic behaviors online. It’s a very meaningful role in an exciting time of growth for the company, and we hope you’ll consider applying.\n\nWhat You’ll Do\n\nAs a Data Scientist at Bark, you might find yourself:\n\n\n* Integrating new NLP techniques into our machine learning pipeline.\n\n* Tuning state-of-the-art deep neural network architectures (e.g., CNNs, RNNs) using frameworks like Tensorflow to identify problematic behaviors in our large, growing, and unique datasets.\n\n* Deploying new classifiers into production.\n\n* Monitoring and analyzing classifier performance.\n\n* Engineering new data science tools, including tools for interacting with our data warehouse, developing and validating new classifiers, and serving/monitoring prediction API endpoints.\n\n* Sharing new approaches and insights with the rest of our highly-technical team.\n\n\n\n\nTo be successful in this role, you will likely:\n\n\n* Have a Masters or Ph.D. in a quantitative science.\n\n* Perform data munging, analysis, and modeling in Python.\n\n* Have experience training, validating and deploying statistical models.\n\n* Be familiar with fundamental approaches in NLP, including tokenization, embeddings, and topic modeling.\n\n* Regularly use Tensorflow, Keras, scikit-learn, Numpy, and Pandas.\n\n\n\n\nHow We’ll Handle Your Application\n\nInterviewing can be stressful, so here’s what you can expect.\n\nWe’ll post the position and collect potential candidates for a period of time. If selected to continue to the interview process, you can expect:\n\n\n* You’ll meet with the CTO for a brief, 30 minute video chat. They’ll get a sense of what you’re looking for and answer any questions you might have about the role.\n\n* You’ll be given a take­-home exercise to complete at your own pace. A working solution should be manageable with around 4 hours of dedicated effort, or less. You’ll submit your exercise to the team for review.\n\n* Our data scientists will review your project and then schedule an hour to chat with you about your submission, your work experience, and answer any questions you may have.\n\n* You’ll have a 30 minute chat with our CTO to get your feedback on the interview process and let you know about our decision.\n\n\n\n\nThat’s it! The whole process can be completed in as little as two weeks, depending on your availability.\n\nBark is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\nAbout Bark Technologies, Inc.\n\nAt Bark, we’re on a mission to keep children safe online and in real life ­­ at home and at school. We use cutting­-edge machine­ learning technology to detect issues like cyberbullying, sexting, grooming, and signs of depression and suicidal thoughts. Learn more at bark.us.

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dunnhumby


Data Science Engineers

Data Science Engineers


dunnhumby


data science

data science

10mo
\n Job Description\n\nThe Pluggable Science team (Customer Engagement & media) at dunnhumby works towards testing and deployment of various Product Science solutions created via R&D. The team works with specialist Product and Engineering teams to aid market-level product deployments, including R&D that might be needed for customization of existing science to aid easier deployment.\n\nThe team’s work profile includes creation of personalization algorithms and running A/B Testing for some of the biggest retailers and CPG companies. These algorithms are used in real-time recommender systems embedded on client websites/apps through dunnhumby products.\n\n\n\nPreferred Qualifications\n\n\n* Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)\n\n* 3+ years of relevant experience Machine Learning/ Statistical Algorithms/ Predictive Modelling – Boosting techniques, Decision Trees, Random Forests, Logistic Regression, Neural Nets, SVM, Clustering Techniques (k-means, DBSCAN, Affinity Propagation, etc), Optimization Techniques – Non Linear Programming, Genetic Algorithm, Gradient Boosting, etc.\n\n\n\n\n\n* Hands-on experience in scripting languages like Python, Apache Spark, Scala, etc. Experience in in Data Structures, Big data handling would be preferred\n\n* Sharp analytical abilities, proven design skills, excellent communication skills\n\n* Experience with software coding practices is a strong plus\n\n* Experience using Linux/UNIX to process large data sets\n\n\n

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Customer.io


Data Analyst

Data Analyst


Customer.io


sql

python

data analyst

numbers

sql

python

data analyst

numbers

10mo
Hi, I’m Colin, CEO of Customer.io.\n\nCustomer.io is looking for a **Data Analyst** to help our company understand what’s happening in the business through data. You’ll be independent, working outside of any one team so that you’re an unbiased voice exploring our data to answer questions for the rest of the company. \n\nAt Customer.io, data helps inform many decisions, but it’s one factor alongside other things like customer research, our experience, and intuition. You *won’t* find us running experiments to figure out which of 50 shades of blue is the best one for a button color!\n\nYou’ll work alongside 40 people from around the world working each day to help businesses build great experiences and strong relationships with their customers. Over 1100 businesses use Customer.io as a core part of their website or mobile app to send emails, push notifications, SMSes, and more to their audience. The insight you’ll provide will help everyone in our company do their job better and impact the lives of the millions of people downstream who receive messages from our customers. \n\n# Responsibilities\n **As the Data Analyst at Customer.io, you’ll work on projects like:**\n* Helping our Product Team measure usage and uptake of our new Push Notifications feature.\n* Helping our Marketing Team understand how their work doubling our number of monthly trials (nice work Marketing!) is leading to downstream success in creating new, long term customers. \n* Working with the CEO (that’s me) to create dashboards to show our key company metrics that we’ll use to make strategic decisions.\n* Analyzing whether or not a pricing change we’ve made has paid off. \n\n\n\n**How you’ll work at Customer.io**\n\nA good way to think about this role is as a consultant serving multiple internal clients. You’ll be often collaborating with our Leadership, Product, Marketing, and Sales Teams. An effective person will be able to balance multiple internal clients, get to the root of what each person is asking for, and allocate enough time to do the work that delivers insights.\n\nYou’ll build dashboards and reports on top of the data pipeline that you’ll ensure reflects our business as accurately as possible.Don’t worry though, our SRE team keeps the data warehouse healthy, and back end engineers can jump in as needed to help you out.\n\nYou control your schedule and how you do your work, but the majority of our team is in North American time zones and as long as you can have a few hours of overlap each day, we don’t mind where you are.\n \nSince our team is distributed, almost all of our communication is written. Especially in the Data Analyst role, clear writing is critical to educating others about your findings.\n \n\n# Requirements\n**You’ve probably got many of these:**\n* You’re fluent in using SQL to query and transform data.\n* You have experience communicating complex analyses to a non-technical audience\n* An understanding of how to present data for understanding and accuracy\n\n**Bonus, but not required (shout about it in your application if you have experience):**\n* Marketing Technology and/or SaaS Company experience - if you’ve built reports showing CAC to LTV calculations that’s great but you can learn that too.\n* Experience using Python for data analysis\n* You’ve used tools in our stack like: DBT, Mode, Looker, Stitch Data, Amazon Redshift\n\n**Why should you work with Customer.io?**\n\nWork anywhere in the world you want. We want to enable you to do your best work, and this is how we aim to do that:\n\n**Equity**- You'll own a piece of the company that you help create. You’ll be recognized for your\ncontributions by earning equity in the company.\n\n**Big Impact**- Our team is small, but growing quickly. The work you do will materially impact how successful we are as a company.\n\n**Great Tools** - Everyone in the company has an Apple computer and is given a budget for a motorized standing desk, Steelcase Leap office chair, external monitor, and anything else you'd like to get your job done.\n\n**Health Benefits** - We pay 100% of your premiums for you and your family for medical, dental, and vision,. We also cover employee’s short-term disability, long-term disability, and life insurance. \n\n**Paid Parental & Medical Leave** - Including adoption.\n\n**Retreats** - We get our whole company together twice a year. Recent retreats have been in Quebec City, Chicago, and Iceland. \n\n**Vacation**- Rest and recuperation are essential. We offer 4 weeks of paid vacation plus the standard local holidays where you are, and flexibility if you need an extra day here and there.\n\n***Diversity statement***\n\nAt Customer.io, we’re committed to building a diverse environment and encourage applicants from underrepresented groups. We want people with different backgrounds from the team we have today to bring their perspective and thoughtfulness to the work that we do and the culture we foster.\nCome Join Us!\n\n\nP.S. Hey, this is Colin again. My first job in tech was as a product manager when I had next to no experience. Somebody took a chance on me when I felt like a total imposter. I wouldn’t have gotten that opportunity if I never applied. I hope you apply too.\n\n

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Drops


Growth Data Analyst

Growth Data Analyst


Drops


data

analyst

growth hacker

product analytics

data

analyst

growth hacker

product analytics

10mo
If you have a soft spot for bootstrapped, profitable companies with a meaningful product, and you want to use your data analyst / growth skills for good, you’ll like this.\n\n\n\n\n\nAbout us:\n\n\n\nDrops’ goal is to turn language learning into a delightful game while ensuring effective learning. Our app is in the Appstore for 3 years, teaches 31 languages, was featured by both the App Store and Play Store multiple times - Editors' Choice on the Play Store - and the company is still run by the founders. We are a small, super-capable remote team mainly spread across Europe. We’re working synchronously, so time zones matter for us. We communicate via Slack, Git and Trello and have a release twice a week. We want to be the no.1 app for vocabulary learning and we are getting there quickly with our current user base of 7 million, a monthly active of >800,000 and an average store rating of 4.7.\n\n\n\nYou can find us here: [http://drops.app.link/](http://drops.app.link/)\n\n\n\n\n\nAbout you:\n\n\n\nYou’ll be responsible for improving the quantity, quality and reliability of the multivariant tests we run.\n\n\n\nYou’re a no-nonsense person, who is comfortable taking ownership of all aspects of our analytics & growth funnel, who has experience in working at a product company, and who can bring us insights, initiatives and execution that will help us grow.\n\n\n\nWe want everyone to see the big picture: this means you already pushed your boundaries outside of the strict data realm, and are knowledgeable about mobile and web growth frameworks, ASO, SEO, best practices regarding retention and monetization.\n\n\n\nWe’re building a small, but super capable team. You’re naturally more interested in the fate of the product & driven to grow professionally, than in managing people.\n\n\n\nWe are looking for a missionary rather than a mercenary.\n\n\n\nWe value clear and honest communication and transparency, it’s the linchpin of our culture and current success and freedom. You will be involved in both high and low level decision making and will be available during European working hours (9AM - 6PM GMT).\n\n\n\nWe offer:\n\n\n\n* An awesomely compact 13 person team\n\n* Educational allowance\n\n* Fittness allowance\n\n* All the perks of remote working\n\n* 30 days of holiday per year (including Christmas and other holidays)\n\n* Quarterly team gathering somewhere in the world\n\n* Stock options from a high-growth, profitable company\n\n# Responsibilities\n You will:\n\n* Work cross functionally with our engineers, designer and marketing teams on opportunities to initiate / manage / analyze the AB tests we’re running across multiple platforms.\n\n* Make sense out of all the data that comes in (mobile, web, iTunes, Play Store, our own users database).\n\n* Gather insights from the existing data we have, and initiate projects to help improve our KPIs.\n\n* Prefer to use a minimal set of simple tools to complex ones. (This is important for us)\n\n* Communicate effectively and often to ensure that the team is aligned.\n\n* Help the engineers structure the events on existing and new platforms & define our KPIs. \n\n# Requirements\nYou have:\n\n* At least 2 years of experience in working in product analytics, managing multivariant tests and their results.\n\n* At least 3 years of experience in using various Analytics / BI tools (from Amplitude to SQL queries)\n\n* Experience driving product growth in the consumer mobile app space.\n\n* Some experience in qualitative testing methodologies. You’re not afraid with engaging with end-users if needed.\n\n* Knowledge about fundamental mobile and web growth mental models\n\n* Project management experience (everyone is managing projects at Drops)\n\n* Strong verbal and written communication skills and the ability to work well cross-functionally.\n\n* (Preferably) experience in all 4 pillars of the growth funnel: Acquisition, Activation, Retention, Monetization

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects.\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code.\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform.\n* Play a key role in creating both product- and client-facing analytics.\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours.\n* Learn from experienced mentors and build your technical and non-technical skill sets.\n\n**What we’re looking for:**\n* B.S. or M.S. in quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*

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StayWell


Data Scientist

Data Scientist


StayWell


data science

data science

11mo
\nWe are looking for a Data Scientist who will support our technology, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at creating, consolidating and using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Additionally, the candidate will lead a team of    administrators and analysts to create and streamline data creation, retrieval and reporting goals. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The candidate is also adept at creating corporate wide reporting and analysis using any and all telemetry data available. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\n\nEssential Duties and Responsibilities include the following. Other duties may be assigned.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n\n* Create and verify integrity of large data sets (data lakes) to centralize management and reporting of data.\n\n* Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.\n\n* Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\n\n* Assess the effectiveness and accuracy of new data sources and data gathering techniques.\n\n* Develop custom data models and algorithms to apply to data sets.\n\n* Coordinate with different functional teams to implement models and monitor outcomes.\n\n* Develop processes and tools to monitor and analyze model performance and data accuracy. Creates and implements vision for the Information Systems team or similar to improve scalability, dependability and flexibility of data management environments.\n\n* Manages data query requests related to Data Management to ensure the team handles these in an effective and efficient manner.\n\n* Builds and maintains strong relationships with business partners, vendors and IT teams.\n\n* Uses the time reporting system; signing and reporting all exception time on a weekly basis. Completes other administrative tasks, such as T&E reporting or similar, in a timely manner.\n\n* Performs responsibilities in a professional manner, meeting the Company’s mission and goals.\n\n\n\n\nQualifications and Experience\n\n\n* 3-5 years’ experience with MySQL and/or PostgreSQL\n\n* 1-3 years’ experience with AWS Redshift ideal\n\n* Experience with AWS RDS, Data Pipeline, Glue, and Quicksight ideal\n\n* Experience with Map/Reduce, Hadoop, Hive, Spark\n\n* Strong problem-solving skills with an emphasis on product development.\n\n* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\n\n* Experience working with and creating data architectures.\n\n* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\n\n* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\n\n* Excellent written and verbal communication skills for coordinating across teams.\n\n* A drive to learn and master new technologies and techniques.\n\n\n\n\nEducation and/or Experience   \n\n4-6 years of experience manipulating data sets, has a Bachelor’s or Master's Statistics, Mathematics, Computer Science or another quantitative field.

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komoot


Data Analyst (m/f)

verified
between UTC -1 and UTC +3

Data Analyst (m/f)


komoot

between UTC -1 and UTC +3 verified

data analyst

analytics

pandas

data science

data analyst

analytics

pandas

data science

between UTC -1 and UTC +312mo
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.\n\nTo help us be even better at what we do, we’re looking for a data analyst to help us to drive product decisions and strategy. We believe that data-driven decision making is key to our success and your skills and curiosity will play a crucial role in building the future of outdoor experiences.\n\n**Your key responsibilities**\n* Turn events and data into actionable insights\n* Develop analysis to drive product and business decisions and company strategy\n* Design and implement metrics, dashboards, and continuous reports\n* Communicate and present findings to different audiences\n* Working closely with teams throughout the company\n* Be an evangelist of data-driven decision-making\n\n**Why you will love it**\n* You’ll be a key player in making product development, marketing and business decisions\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n* You’ll work with a modern and powerful analytics platform based on AWS Kinesis and Redshift\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want and work with whichever tools you love\n* We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies in any time zone between UTC-1 and UTC+3\n* Every day, your work will inspire people to discover more of the great outdoors\n* You’ll join us for team gatherings in locations like Mallorca or the Bavarian Alps several times a year\n\n**You will be successful in this position if you**\n* Have a burning desire to transform data into actionable insights\n* Have 3+ years of relevant experience interpreting data\n* Have strong and proven skills in SQL and Pandas/R\n* Have strong communication skills\n* Have fundamental statistical skills\n* Are keen to keep in touch with the latest advances in your area\n* Have a hands-on attitude and are highly self-driven\n \n**Sounds like you?**\nThen send us the following:\n\n* Your CV\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.)\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, or your OpenStreetMap profile if you have one\n* You’ll get bonus points for: Doing something creative with komoot (we love it when people go the extra mile)\n \n\n#Location\n- between UTC -1 and UTC +3

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Respondent


Data Engineer Data Scientist


🇺🇸US-only

Data Engineer Data Scientist


Respondent

🇺🇸US-only

data science

engineer

data science

engineer

🇺🇸US-only12mo
\nRespondent is the world’s first marketplace for scheduling research interviews with any target audience, anywhere in the world. We enable companies of all sizes to discover the power of conducting market research interviews with high-quality participants; that’s why more than 2,500 user experience researchers, marketers, product designers and other stakeholders at some of the best companies in the world - like Airbnb, IBM, Salesforce and many more - use Respondent every day.\n\nWork hard, and take responsibility for your own freedom. That's us. Self-motivated, research-focused, and a smart thinker with experience in dealing with backend engineering and data at scale...is that you?\n\n\nYou will be working with the CTO and three other engineers. This role is not a mid-level position. Remote US only\n\nWhat you'll do:\n\n\n* Build scalable backend data applications to support the growing needs of the business\n\n* Build data pipelines that collect, process, and compute business metrics from marketplace activity\n\n* Leverage best practices in continuous integration and delivery.\n\n* Collaborate with other engineers\n\n\n\n\nWhat we're looking for:\n\n\n* Expertise in building data or training pipelines using Spark or Hadoop\n\n* Experience in building production grade API to expose results\n\n* Extensive programming experience in Python/Scala/Java\n\n* A BS or MS in Computer Science or other related technical fields\n\n* At least 3 years experience in production environment\n\n\n\n\nBonus\n\n\n* Experience and interest in ML\n\n\n\n\nJob Conditions:\n\nWork remotely from anywhere\nFlexible schedule and a goal-oriented culture\nCompetitive salary and opportunity to grow with the company\nFun work environment and company culture with an upbeat motivated team\n\nHiring Process\n\nApplicants for this position can expect the hiring process to follow the order below. Please keep in mind that applicants can be declined from the position at any stage of the process.\n\n\n* Qualified applicants receive a few questions to answer\n\n* Selected candidates will be invited to schedule a 30 minute intro call with our CTO\n\n* Next, Candidates will be invited to schedule a behavioral interview with the CEO\n\n* Next, candidates will be invited to schedule a technical interview with our CTO. The technical interview can be split between a technical discussion and a technical test.\n\n* Next, candidates will be invited to review the technical test with our CTO and other software engineers.\n\n* Candidates will then be invited to schedule an additional interview with (CEO, CTO, COO)\n\n* Successful candidates will subsequently be made an offer via email.\n\n* As always, the interviews and screening call will be conducted via a video call.\n\n\n\n\nThis is a full time position - No Contractor\n\nWe are looking for someone who matches our level of joy for the work we do, fits in well with our team, and elevates our game. A sense of humor, a lack of ego, and a desire to do great work is essential. \n\n#Location\n- 🇺🇸US-only

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. We’re looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.\n\n**How you’ll make an impact:**\n\n* Apply NLP methods and build deep neural networks to personalize medical content to our clinician members.\n* Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.\n* Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.\n* Provide technical leadership to other data scientists and data engineers working on the newsfeed product.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience building deep neural networks in support of recommendation systems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark).\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n* Experience applying reinforcement learning to industry problems.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*\n\n \n\n# Requirements\n\nUse apply button

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\n**How you’ll make an impact:**\n\n* Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n* Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n* Discover trends and new business opportunities from physician’s medical claims and referral networks.\n* Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience applying graph theory, analytics, and processing to industry problems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark)\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n\n* Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.\n\nOur team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. \n\n**How you’ll make an impact:**\n\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What we’re looking for:**\n\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button

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Creative Market


Data Scientist Search Discovery

Data Scientist Search Discovery


Creative Market


data science

data science

1yr
\nHelp independent creators make a living doing what they love! Every day, thousands of customers use Creative Market to buy ready-to-use design content (fonts, graphics, templates, website themes, 3d models, etc) directly from top designers around the world. Join the team to help us continue our meteoric growth, and your work will be used by millions of people every month. As a data scientist on our Search & Discovery team, you will collaborate closely with product teams to build out and improve Creative Market’s search and recommendation technology. You'll work directly with our Elasticsearch infrastructure in Amazon AWS and iterate on our machine learning and data science pipelines.

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Scrapinghub


Data Scientist

Data Scientist


Scrapinghub


data science

data science

1yr
\nAbout the Job:\n\nWe are looking for experienced individuals who are passionate about data science and enjoy working in a collaborative environment. You will get the chance to work with one of the most advanced and comprehensive web crawling and scraping infrastructures in the world, leveraging massive data sets with cutting edge technology.\n\n\nDue to business requirements, only candidates based in Ireland will be considered.\n\n\n\n\nJob Responsibilities:\n\n\n\n\n* You will apply your data science and engineering skills to create products based on machine learning, analyze large volumes of complex data, model challenging problems, and develop algorithms to solve our internal and client needs.\n\n* You will work and experiment with state-of-the-art web crawling, machine learning and data processing technologies. Some of the problems you’ll be working on include object detection, text classification, named entity recognition, crawling algorithms.\n\n* You will work in collaboration with other data scientists and engineers across Scrapinghub to design and build creative solutions to challenging problems.\n\n* You will work on projects that span the whole organization, including areas such as Product and Professional Services.\n\n\n\n\n\n\n\n\n\n\nJob Requirements:\n\n\n\n\n\n\n* Strong machine learning background (natural language processing, computer vision, deep learning, “classical” methods)\n\n* Hands-on experience in Data Science projects (data preparation, target metrics, model evaluation, validation, etc.)\n\n* Strong software development skills, ideally in python.\n\n* Experience with any of these tools is a plus: pytorch, scikit-learn, tensorflow, pandas, jupyter, spacy, gensim, vowpal wabbit, crfsuite, scrapy, spark, AWS, docker, kafka.\n\n\n\n\n\n\n

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Astrosat


Data Scientist

Data Scientist


Astrosat


data science

data science

1yr
\nYou will work on the analysis and visualisation of earth observation data. Our projects focus on environmental problems - such as flood disaster response, tackling illegal deforestation, and peatland protection - and are carried out in collaboration with international partners, including the UK and European Space Agencies, NGOs, and governments across the globe. We need you to help us create products that put the power of earth observation into the hands of our users.\n\nYou will be part of a team of data scientists and work closely with software developers, designers, and business developers. The data team works primarily with Python and its open-source ecosystem of geospatial and data science libraries, free and commercial satellite imagery, and ground observations provided by third-parties.\n\nThis position is for a full-time permanent position at our office located near Edinburgh. The candidate must be eligible to work in the UK.\n\nRequirements:\n\n\n* 1+ years of commercial experience\n\n* Experience in data analysis\n\n* Excellent knowledge of Python\n\n* Excellent knowledge of Python’s data science libraries\n\n* Ability to apply skills to new domains\n\n* Good team player\n\n* Ability to manage own time\n\n* Willingness to travel\n\n\n\n\nGood to have:\n\n\n* Domain knowledge of field within geosciences\n\n* Experience in geospatial data analysis\n\n* Experience with remote sensing techniques\n\n* Experience with OGC standards\n\n* Experience in machine learning\n\n* Experience in web development\n\n* Experience with modern software development practices\n\n* Experience working within a multidisciplinary team\n\n\n\n\nSuccessful applicants will be moved forward to a quick, informal introduction over the phone. They will then be asked to take part in a data analysis and coding test before moving forward to a more formal get together with some of our team.

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PROEMION


Data Scientist

Data Scientist


PROEMION


data science

data science

1yr
\nJoin a well-established (30+ years) telematics company to deliver a new generation of our data processing pipeline and analytics tools.\n\nProemion is at the forefront of the IoT/Telematics revolution and is looking for a Data Scientist (f/m) at the earliest possible date. The position can be at our headquarter in Fulda, Germany or full-time remote.\n\nThe team you will join is mostly remote with members spread across the globe.\n\nRequirements\n\n\n* Bachelors' or Masters' degree in Physics, Math, Computer Science, or Statistics preferred\n\n* Strong Python skills, especially in:\n\n\n\n\nnumby\n\npandas\n\nmatplotlib\n\nstatsmodels\n\nsklearn\n\n\n* You have an excellent understanding of math mainly linear algebra, probability, statistics as well as algorithms from the time series field\n\n* You are highly experienced with tooling like git, github, docker, rundeck, Jenkins, Travis, or Bash\n\n* Possess initiative, creativity, analytical skills, team spirit and the ability to work independently\n\n* You are a real world coding expert\n\n\n\n\nWhat you can expect\n\nWe are working with a massive dataset based on thousands complex construction- and off-road vehicles. Our data covers performance data, geo data and diagnostic event data. There for we have a huge range of use cases to address and can verify them utilizing out close relations with world class vehicle / machine manufacturers. We work with real machines with strong cases.\n\nYour role will mainly include the following tasks:\n\n\n* Time Series forecasting on sensor data:\n\n\n\n\nARIMA, HoldWinters, Linear Regression\n\nCross metric ML models\n\n\n* Anomaly detection in time series data and event data\n\n* Predictive maintenance based on performance data and diagnostic events\n\n* Interfacing with REST APIs\n\n* Feature definition based on many sensor signals\n\n* Gauge the performance and accuracy of forecasts and models\n\n* Development in Python and Java including automated testing\n\n* Automation of the analysis workflows including integrations with other Systems\n\n\n

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Bothouse


Machine Learning/ai Lead

Machine Learning/ai Lead


Bothouse


data science

machine learning

ai

exec

data science

machine learning

ai

exec

1yr

Stats (beta): 👁 691 views,✍️ 0 applied (0%)
‼️ [Machine Learning/AI Lead needed!] ‼️\n--------------------------------------------------------------\n\n🕦 Full-time\n\n🌎 Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered)\n\n💰 $50 - $90 an hour\n\n⌛ Duration: 4 - 12 months with the ability to extend\n\n🏁 Start: beginning of August 2018\n\n🇳🇴 2 week-long visit in Oslo at the beginning of the project\n\n👥 4 people with this profile are needed\n\nYet another time we search for extraordinary people to join our nerdy crew! :)\n\nProject for a big retail corporation in Norway (11k employees) with stores across entire Europe. \nYou’ll be working closely with business people (20 years of business experience), IT specialists (SE architects, DevOps, UI/UX people) and also with board members to design and execute digital transformation to replace client’s entire IT infrastructure with an AI-first, data-oriented, modern, future-proof solution. \n\nThe project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. \n\nIf you are looking for an easy next project/job, or quick cash - there are better offers out there.\n\nA rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills. \nWe have people with Google DeepMind on their CVs already involved. \n\nLess experienced folks are also welcome to apply - we need many people.\n\n 👉 Contact: [email protected]

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Apsara LLP


Data Scientist

Data Scientist


Apsara LLP


data science

data science

1yr
\nApsara Capital is the only investment firm in the UK focusing exclusively on the water sector. We are a small team with decades of expertise in business development, company analysis, statistics, and quantitative investment strategies. We are looking for an intellectually curious data scientist with at least 3 years work experience to join our London office and assist us in structuring our database, deepening our analysis of the water industry, and enhance our trading strategy. The candidate's main responsibilities will be to build our data infrastructure, as well as identify, structure, and analyse economic, industrial, and other data. 

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RBW Consulting


Data Scientist

Data Scientist


RBW Consulting


data science

data science

1yr
\nJob title\n\n\n\nGlobal Data and Analytics – Data Scientist\n\n\n\n\n\nReports to\n\n\n\nGlobal Data and Analytics – Director / Senior Data Scientist\n\n\n\n\n\nBusiness Group\n\n\n\nStrategy\n\n\n\n\n\nLocation\n\n\n\nAmsterdam, Schiphol-Rijk – The Netherlands or London - UK\n\n\n\n\n\n This vacancy is being managed exclusively by RBW Consulting \n\nJob purpose\n\n Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.\n\n Key responsibilities\n\n Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements\n\n\n* Transform large, complex data sets into pragmatic, actionable insights.\n\n* Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.\n\n* Research and develop approaches on how to improve business processes and improve customers’ experience, by using our vast amounts of data.\n\n* Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.\n\n* Partner with data engineering teams to improve data as an asset of the business.\n\n* Participate in detailed product analysis, customer segmentation, lifetime value analysis, base management, market mix modelling etc to drive insights, targeted strategies and communication.\n\n* Develop internal A/B testing procedures to determine the effectives of different approaches.\n\n* Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.\n\n* Build key data sets to empower operational and exploratory analysis.\n\n* Build and analyse key dashboards and reports.\n\n\n\n\n\n Qualifications\n\n\n\n* The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)\n\n* 2+ years work experience\n\n* Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)\n\n* Strong experience in statistical packages including R, Python(sckit-learn, pandas), etc\n\n* Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.\n\n* Experience in data presentation tools including D3, bokeh, Tableau, Qlik.\n\n* Experience of using data to drive commercial and actionable insights for the business.\n\n* Preferably, the candidate has experience in statistical models applied to telecommunication and media, such as network optimization and churn modelling\n\n* A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.\n\n* Fluent in both written and spoken English\n\n* Good interpersonal and communication skills\n\n* Team player\n\n\n\n\n\n Working environment\n\n\n\n* A constantly changing, fast moving, dynamic environment\n\n* Flexible working required\n\n* Work in an international and multicultural team\n\n* Some travel through Europe is expected\n\n\n\n\n\n This role is being managed exclusively by RBW Consulting. 

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Hakka Labs


Head of Marketing

verified

Head of Marketing


Hakka Labs

verified

marketing

community

data science

exec

marketing

community

data science

exec

1yr
Hakka Labs is looking for a Head of Marketing to be responsible for all marketing efforts across the Hakka Labs network internationally. Our flagship event is [DataEngConf](http://dataengconf.com), a deeply technical 2-day, multi-track conference at the intersection of data engineering, data science and AI.\n\n**The Role**\n\nThe Head of Marketing will report to our founder, and will work to develop our marketing strategy and continue to grow out our marketing team. You will be responsible for all branding, design, campaign development and execution, and community building aspects of our business. You’ll work with our team to craft our brand message and tell the unique story behind our events and our community.\n\nWe currently use email marketing, technical content (including blog posts, video & podcasts), social media, online community distribution (Hacker News, Reddit, Meetup, etc.) and on- and off-line partnerships to attract users to our events and grow our community. You will recommend adjustments to our current formula, test your own distribution hypotheses and experiments, and invest in the winners for maximum growth. You will design the systems and processes our team will implement to scale marketing, while building out more comprehensive analytics capabilities that drive a deeper understanding of our unit economics.\n\nIt’s an exciting time of growth for our business - we’re now launching events internationally and you’ll be an important part of our global expansion. Our main challenges are growing our core US events (annually in SF and NYC) while expanding to our next key markets of Europe (Barcelona, summer 2018) and Asia (2019).\n\n**Our Team & Approach**\n\nOur team is fully distributed and embraces the remote work lifestyle. You’ll have the freedom to work from your desired location while attending our conferences and building out our community worldwide.\n\nWe also strongly advocate the customer development model of the lean startup approach - our team is constantly exploring and testing ways to bring more value to our users. Our marketing and community building efforts are driven by a close connection to our customers. We use systems and design thinking to come up with new ways to solve challenging problems globally, not simply use the tired, old playbook of basic event marketing techniques.\n\n**Why Work with Us**\n\nWe're a scrappy-but-global-startup (operating a growing cash flow positive business!) that hails from the 500 Startups school of 'distribution hacking.’ We’re building a global community of highly demanded, deeply technical data professionals and academics.\n\nOur network is our prime asset, and our community is made up of data engineers and scientists from every major tech company, as well as many influential startups backed by YC, TechStars 500 Startups and top VCs. DataEngConf sponsors include Facebook, Netflix, LinkedIn, Lyft, Spotify, Microsoft, Cloudera, Heroku, IBM, The New York Times and other great companies.\n\nData technologies are rapidly changing the world, and our community is at the epicenter of the hottest technical advancements and research in machine learning, computer vision, artificial intelligence, neural networks and deep learning. These technologies are literally transforming industries while simultaneously creating new opportunities and defining our future.\n\n**Requirements**\n- 5+ years experience building full-stack marketing organizations\n- Previous marketing experience with a product targeted at software engineers\n- Sharp storytelling & copywriting skills\n- Demonstrable technical content marketing experience\n- Previous startup experience is required\n- Event marketing experience helpful, but not required\n- Previous experience with Hubspot helpful, but not required\n- A demonstrated passion for technology\n- Familiarity with strategies for building technical communities

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EY


Data Scientist Tax

Data Scientist Tax


EY


data science

data science

1yr
\nan den Standorten: München, Stuttgart, Eschborn, Köln, Düsseldorf, Berlin \nAuf Ihre Ziele kommt es an\nSie wollen mit den neuesten Technologien in der Digitalisierung arbeiten? Sie wollen eigenverantwortlich arbeiten und Ihre Ideen umsetzen? Sie wollen in einem großen und erfahrenen, multidisziplinärem und internationalem Team tätig sein, das zugleich Start-up Charakter hat?\nDann sind Sie bei der Big Data und Advanced Analytics Gruppe von EY als Teil von Tax Technology and Transformation genau richtig!\nDas Management-Team hat umfangreiche Erfahrung in der Durchführung von Projekten in verschiedensten Unternehmen, Branchen und Ländern. Sie bringen sich aktiv bei der Entwicklung von innovativen Lösungen ein und belgeiten den Prozess bis hin zur Entscheidungsfindung mit Ihrem Wissen. Auf Basis Ihrer Erfahrung setzen wir Sie zielführend bei der Datenanalyse und Softwareentwicklung mit einem hohen Freiheitsgrad an selbständiger Lösungskompetenz ein.\n\nAufgaben, die Sie voranbringen\nWir bieten ein breites Feld an Themen, von der Softwareentwicklung über Advanced Analytics, bei der Sie State-of-the-Art Algorithmen nutzen, um heraufordernde Fragestellungen zu lösen bis hin zur Implementierung dieser Funktionen in ERP Systemen. Beispiele sind: Entwicklung von Anwendungen zur Überwachung von Geschäftsprozessen in Echtzeit, Datenvisualisierungen mittels Webtechnologien oder VR mit der Oculus Rift, Nutzung neuester Advanced Analytics Technologien und Hochleistungsrechnern sowie Machine-Learning Algorithmen.\nSie betreuen Projekte von der Akquise über die Konzeption und Durchführung bis hin zur Implementierung beim Kunden oder der Integration in unsere EY Cloud.\nSie arbeiten gerne mit Spezialisten aus verschiedenen Disziplinen in einem Team zusammen. Sie fühlen sich bei der Definition von Spezifikationen bis hin zur Implementierung einer hochentwickelten Lösung mit fortschrittlicher Dashboard-Funktionalität wohl. \nSie bringen sich proaktiv im Team ein, präsentieren Ihre selbstentwickelten Lösungen und diskutieren diese konstruktiv. Sie lernen mehr über neueste Technologien und Methoden in unseren regelmäßigen Trainings. Sie definieren mit uns die Zukunft der zu nutzenden Technologien und Analytics-Lösungen für die Service-Line Steuern. Sie präsentieren mit uns Ihre Lösungen vor Mittel- und Top-Management aller Unternehmensgrößen in unserem Showroom in Stuttgart oder beim Mandanten vor Ort.\n \n\n\nIhr Profil, um gemeinsam etwas zu bewegen\nSie haben ein abgeschlossenes Studium als Bachelor oder Master in einem MINT-Fach (z.B. Informatik, Statistik, Physik, Mathematik, Wirtschaftsinformatik) oder können uns auf anderer Weise Ihre Data Science Fähigkeiten darlegen (z.B. Kaggle, Github). Sie haben eine favorisierte Programmiersprache (z.B. Python, R, Java, Matlab) und kennen sich mit Cloud Computing Plattformen wie Azure und Datenbanken wie SQL, MongoDB oder Graph-Datenbanken aus. UNIX, Hadoop oder Docker sind Ihnen bekannte Konzepte. Sie haben ein grundsätzliches Verständnis über die Entwicklung von Webanwendungen und kennen sich mit HTML, CSS und JavaScript aus. Sie haben erste Erfahrungen mit Geschäftsprozessen eines Unternehmens gemacht, wobei ERP (z.B. SAP ERP oder S/4 HANA) und Steuer-Wissen ein weiterer Pluspunkt sind.\n\nMehr Möglichkeiten für Ihre Entwicklung\nHochfliegende Pläne? Halten Sie an ihnen fest und verwirklichen Sie Ihre Ziele mit uns! Gestalten Sie Ihre Karriere bei EY: In einer Kultur, die Vielfalt und Weiterbildung fördert. In einem Umfeld, das Enthusiasmus belohnt und die Balance zwischen Beruf und Freizeit schafft.\n\n\nWir freuen uns auf Ihre Bewerbung\nMachen Sie jetzt den nächsten Schritt: Bewerben Sie sich für diese Position online über unser Jobportal! Unser Recruitment-Center beantwortet gerne Ihre Fragen unter Telefon +49 6196 996 10005.

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Thinkful


Data Scientist Residence

Data Scientist Residence


Thinkful


data science

data science

1yr

Stats (beta): 👁 826 views,✍️ 0 applied (0%)
\nThis year, we have an exciting road ahead through the combined data collected from cohorts of students, feedback from our pool of mentors and the continued analysis of the shape of the opportunities that our graduates fill. As the Data Scientist in Residence, you will guide our education team through the ever-changing landscape of the industry, help with defining our roadmap of investments to make, explore areas of research to pursue and propose curriculum partnerships to establish. \n\nThis position reports to the Head of Programs. Given the varied responsibilities that this role may be involved with, your background should include a broad understanding of current trends and data science, industry leadership, data science management or student education; these will all be equally applicable and lend themselves well to the needs of our student body. This position works closely with the Head of Programs, Head of Curriculum and their respective teams to shape the direction of our existing and future programs and consults with the career services team to continually adjust the evaluation guidelines so that they align with future job markets and company needs.\n\nThinkful’s headquarters is in Brooklyn, New York, but we are an incredibly remote-friendly company. Only ¼ of our employees work in the main office, with the rest of the team in a normal distribution across the US, supported by our mentor network and student body across the globe. Ideally, you want to work in Brooklyn or San Francisco, but can be successful in this role from anywhere in the world.\n\n\nRequirements\n\nIndustry Experience and Domain Expertise\n\n\n* Has a deep appreciation of the shape of the Data Science industry, and the constantly changing facets therein\n\n* Demonstrates broad industry experience in a number of areas of technical interest, from languages like Python and R, to distributed systems with Kafka and Spark, to machine learning with Tensorflow or PyTorch\n\n* Enjoys keeping up with industry trends, attending conferences and participating in meetups on subjects as varied as statistical modeling, computer vision, machine learning and natural language processing\n\n\n\n\nLeadership, Mentorship and Sponsorship\n\n\n* Can evaluate prospective student’s previous experience and interests to help create a healthy, engaged and successful student body\n\n* Can design evaluation guidelines for both students’ learning objectives and career outcomes, as well as leading mentor alignment to the criteria that the guidelines establish\n\n* Has an opinion on the facets of a successful Data Science curriculum, what is required versus optional, and what new units and specializations should be added\n\n* Can help the curriculum team evaluate and incorporate student feedback, including issue triage, clarification requests and example building\n\n\n\n\n\nNice to Haves\n\n\n* Has experience teaching or leading training, either in an academic, professional or similar environment\n\n* Has been involved with mentoring direct employees, peer groups or organizations within a matrixed environment\n\n* Is interested in the public advocacy of Data Science and has participated in community events\n\n* Has an appreciation for the narratives that the application of Data Science can create, wants to contribute to pieces like what we’ve created for helping animal adoption or our piece on The Oscars, and can distill them into a presentation for events\n\n* Is comfortable speaking in front of an audience of 10-50 people, either in person or via the web\n\n\n\n\n\n* Understands how to succeed in a non-hierarchical, influence-based management organization, working with peer departments in curriculum development, student success and marketing\n\n\n\n\n\nApply\n\nPlease submit your resume and cover letter via our platform to apply for this role. 

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hatch IT


Data Analyst

Data Analyst


hatch IT


analyst

data science

analyst

data science

1yr
\nHatch is currently working with a series B healthcare IT startup to help them find a BI/Data Analyst to work on their growing Analytics team. Aledade has been around for just over 3 years and they work to provide everything a doctor needs to create and run an accountable care organization (ACO) - from business practice transformation services to upfront capital and cutting-edge technology platform. In this role, you will be executing analysis/reporting projects from start to finish with the goal of identifying opportunities for improving population health, monitoring key performance indicators, and assessing impact of their population health initiatives. An ideal candidate will have advanced data management/manipulation skills, including a strong foundation in SQL programming  The organization is based in Bethesda, Maryland but the majority of the IT department works remotely throughout the country. \n\nDoes this describe you?.\n\n\n* Experience building data products in Tableau\n\n* Excellent quantitative analysis abilities, grounded in epidemiology, biostatistics, health informatics, health care analytics or related field\n\n* Strong knowledge of SQL, understanding of database and field types, ability to write SQL queries\n\n* Thrive in the fast-moving, hard-charging environment of an early-stage startup\n\n* Ability to work remotely in an efficient and self-sufficient manner\n\n\n\n\nIf you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us!!\n \nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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FinancialForce.com


Senior Data Scientist

Senior Data Scientist


FinancialForce.com


data science

senior

data science

senior

1yr
\nTHE ROLE \n\nDesign and development of models from analytics built on customers' user behaviour data FinancialForce and 3rd party data to deliver the highest possible quality functionality that will enable our customers to be successful. Ranging a focus on delivery of general users' analytics to high-end analytics and modelling responsibility across broader functions of our products.  \n\nUsing a range of Analytical & Data Modelling, and Data Science techniques, including supervised and unsupervised machine learning, clustering, decision trees, predictive analytics, naive bayes, markov chain, survival analysis, neural net, deep learning and AI using tools such as SAS, SPSS, R, Python, Weka and KNIME, and be able to deploy models in a statistically robust way to measure impact.\n\nWill be able to visualise Analytics and Modelling in a way which enables broad user understanding.\n\nRESPONSIBILITIES\n\n\n* Provides Analytics & Modelling strategy to a variety of Product stakeholders internally, and externally Influencers and Investors.\n\n* Supports stakeholders with the provision of data products, and can confidently talk through their data products and the potential opportunities which their research & analytics has demonstrated.\n\n* Conduct deep, and complex data analysis, and use to drive delivery of data rich highly-usable  products which demonstrate findings to stakeholders.\n\n* Put across reasoned arguments for where there is an opportunity for value add, and ROI.\n\n* Spot potential opportunities in the market and advise their management team of the impact of these.\n\n* Provides suggested methodologies, research techniques and data science proposals, whilst supporting less experienced members of the team through their Analytics responsibilities.\n\n* Provides in depth quantitative and qualitative data which can be productised, providing evidence which is needed to form strategy and support strategic decisions.\n\n\n\n\nESSENTIAL SKILLS/QUALIFICATIONS\n\n\n* Extensive and deep understanding of Analytics and Modelling with a Bachelor’s degree (or equivalent)  or lesser experience and a Master’s degree (or equivalent); or a directly relevant PhD (or equivalent)  without experience..\n\n* Expert competency with enterprise Analytics and modelling software tooling and methodologies eg SAS, SPSS, R, Python, Weka and KNIME\n\n* Strong knowledge and applied expertise of best-practices.\n\n* Experience of running multiple, large programmes of work from inception to completion\n\n* Proven track record of influencing and inspiring cross-functional peers and senior leaders by generating and implementing new ideas\n\n\n\n\nIn Scrum Master role\n\n\n* Is a Certified Scrum master\n\n* Has experience of working in an Agile Scrum environment\n\n\n\n\nDESIRABLE SKILLS/QUALIFICATIONS\n\n\n* Experience of coordinating and leading other colleagues.\n\n* Courseware in management, project management, agile, communication and personal effectiveness.\n\n* Agile experience\n\n* Salesforce experience\n\n\n

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Experian


Senior Data Scientist

Senior Data Scientist


Experian


data science

senior

data science

senior

1yr

Stats (beta): 👁 804 views,✍️ 0 applied (0%)
\nExperian is looking for a Data Scientist to join the Fraud and Identity Solutions (FIS) Analytics team. This person would execute analytical engagements for Experian clients, primarily involving analysis for account acquisition, applicant decisioning, and account management.\n\nPosition can be on-site or remote.  On-site locations can be San Diego, CA or Costa Mesa, CA or Indianapolis, IN or Atlanta, GA\n\n\nKey Responsibilities:\n\n* Lead analytical projects from solution design and data integrity evaluation through solution development, documentation, and implementation.\n\n* Research and development of new analytical solutions in fraud detection\n\n* Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied as well as requirements for decision tools and strategy implementation and monitoring.\n\n* Communicate with and deliver presentations to end users on analysis results.\n\n* Produce implementation plans and participate in model governance and testing to support the implementation of statistical models and other decision tools.\n\n* Support field sales force and marketing organization by providing analytical expertise.\n\n* Support the development of new analytical and data products and services, and the enhancement of current processes and offerings.\n\n\n\n\n\nQualifications:\n\n* 3-5 Years Analytical Expertise, preferably in Fraud and/or Financial Services\n\n* Minimum of 5-7 years of statistical modeling / data analysis experience or course work including data manipulation experience preferably using SAS\n\n* Advanced degree, preferably in Statistics, Mathematics or Computer Science\n\n* Expert analytical skills to evaluate understand and interpret data from both an internal and client perspective\n\n* Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience\n\n* Excellent communication, organization, interpersonal and presentation skills\n\n* Strong knowledge of Unix and Microsoft office products\n\n\n\n\n\nExperian is the leading global information services company, providing data & analytical tools around the world.  Operating at the center of Big Data since before the phrase was coined, few companies can offer information services on the same scale. We’ve been named one of the “World’s Most Innovative Companies” by Forbes for 4 years in a row. We support clients in over 80 countries and employ 17,000 people in 37 countries.\n\n\nExperian offers flexible benefits and compensation packages that allow our employees to make choices that fit their individual lifestyles. Some of our benefits include:\n\n\n* Medical, Dental, Vision and Life Insurance\n\n* 401K with immediate 100% vesting\n\n* Vacation and paid Volunteer Time Off\n\n* Parental Leave\n\n* Short-Term and Long Term Disability Coverage\n\n* Flexible Spending Accounts\n\n* Tuition Reimbursement Program\n\n\n\n\nExperian is an Equal Opportunity Employer. Anyone needing accommodation to complete the interview process should notify the talent acquisition partner. The word "Experian" is a registered trademark in the EU and other countries and is owned by Experian Ltd. and/or its associated companies.

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StayWell


Senior Data Scientist

Senior Data Scientist


StayWell


data science

senior

data science

senior

1yr

Stats (beta): 👁 681 views,✍️ 0 applied (0%)
\nWe are looking for a Senior Data Scientist who will support our technology, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at creating, consolidating and using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Additionally, the candidate will lead a team of administrators and analysts to create and streamline data creation, retrieval and reporting goals. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The candidate is also adept at creating corporate wide reporting and analysis using any and all telemetry data available. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\n\n\n* Strong problem-solving skills with an emphasis on product development.\n\n* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\n\n* Experience working with and creating data architectures.\n\n* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\n\n* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\n\n* Excellent written and verbal communication skills for coordinating across teams.\n\n* A drive to learn and master new technologies and techniques.\n\n* We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:\n\n\n\n* Coding knowledge and experience with several languages: C, C++, Java,\n\n* JavaScript, etc.\n\n* Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.\n\n* Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.\n\n* Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.\n\n* Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.\n\n* Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.\n\n* Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.\n\n* Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.\n\n\n\n\n\n\nEducation and/or Experience   \n\n5-7 years of experience manipulating data sets and building statistical models, has a Bachelor’s or Master's Statistics, Mathematics, Computer Science or another quantitative field.

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PeopleDoc


Data Analyst

Data Analyst


PeopleDoc


analyst

data science

analyst

data science

2yr
\nData being at the center of our mission, our Data Team is looking to improve and innovate our data management practices and tools to bring added value to our client and develop our Data analytics solution. \n\nTo complete this mission, PeopleDoc is looking for a Data Analyst to join his Data Team, actually composed of 6 people, 4 DBAs and 2 Data Engineers.\n\nResponsibilities:\n\n\n* Build and maintain dashboards for clients based on their requirements (currently using ZohoReports)\n\n* Build and maintain internal dashboards (currently using Superset)\n\n* Work closely with other teams and support them with data that can help them to take the right decisions\n\n* Be involved in our data warehouse project in order to make data available to everyone inside the company\n\n* Mine in our data to identify and perform meaningful analysis\n\n\n\n\nThe position is open at Paris and can be remote in France or Germany.\n\n The successful candidate will be required to:\n\n\n* Work with DBAs as development team and the whole R&D team\n\n* Be curious and proactive\n\n* Love sharing his/her knowledge with other \n\n\n\n\nCompetencies required:\n\n\n* SQL knowledge\n\n* Previous experience with a data visualization tool is a plus (Tableau, ZohoReports, Superset, QlikView…)\n\n* Team player, creative and able to set his own priorities\n\n\n

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EY Switzerland


Data Analyst

Data Analyst


EY Switzerland


analyst

data science

analyst

data science

2yr
\nData Analyst – Consultant/Senior Consultant (f/m) Finance Advisory Services / EMEIA Financial Services in Zürich \n\nEY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers\n\nOur Financial Services Organization is the only Big 4 firm with functional and cross-country specialization in the financial services sector. We offer our customers all over the world seamless, consistent and high quality services. Finance Advisory Services provides professional advisory services to our financial services clients across the breadth of their Finance function. We are looking for an experienced, team-oriented, motivated and committed Data Analyst (Consultant/Senior Consultant) to further strengthen our practice in Zurich. \n\nTasks that you promote\n\n\n* Supporting and advising our financial services clients (banks, asset managers and insurers) in the area of accounting, regulatory and compliance-related data analytics topics\n\n* Building and supporting reusable data analysis structures within a variety of technical environments; enabling self-service analytical capability for key technical stakeholders as well as producing stand-alone reports\n\n* Gathering requirements from key stakeholders and preparing and presenting analysis results\n\n* Working in close collaboration with technical and non-technical colleagues\n\n* Producing project outputs (including analytical activities in Excel, SQL, Spotfire and SAS)\n\n\n\n\nYour profile to succeed together\n\n\n* This role requires technical (data) expertise, a business & consultancy mind-set and the ability to work within small and large project teams with minimal supervision\n\n* Bachelor or Master degree in computer science, mathematics, statistics and business or similar\n\n* Practical or theoretical knowledge/experience in Finance and knowledge of accounting principles\n\n* Relevant understanding of Finance and/or regulation within the financial services sector is an advantage\n\n* Data management skills (SQL, SAS or similar)\n\n* Advanced skills in Microsoft Excel/VBA & Power Point\n\n* Exceptional analytical, quantitative, problem-solving, and critical thinking skills\n\n* Strong attention to details and accuracy when working with complex numerical data\n\n* Knowledge of data preparation and integration tools (Alteryx, Pentaho, Talend or similar) is an advantage, together with knowledge of data visualization tools (Tableau, Spotfire, Power BI) and programming languages (Iron Python, R, C# or Java)\n\n* Proactive, flexible and team-oriented with the intellectual curiosity and the willingness to “go the extra mile”\n\n* Interest and ability to build your relevant internal and external networks in a fast-paced and international environment investing in sustainable relationships\n\n* English and German are a prerequisite\n\n\n\n\nMore opportunities for your development\n\nDo you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.\n\nDoreen Schwarz is looking forward to receiving your application\n\nDo the next step and apply for this position online. Ref No: ZUR00154. For further information please contact our recruitment team ([email protected] / +41 58 286 33 66).

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AdRoll


Data Science Engineer Attribution

Data Science Engineer Attribution


AdRoll


data science

engineer

data science

engineer

2yr

Stats (beta): 👁 450 views,✍️ 0 applied (0%)
\n About the Role:\n\nAdRoll’s Attribution Team is seeking a Senior Data Science Engineer to develop a statistic multi-touch attribution pipeline designed to clearly analyze the value of a client’s various marketing channels.\n\nThis is not a project where you will inherit a sprawling legacy code base that will tie your hands. Instead you will be joining a ground floor effort driven by a team of engineers tasked with solving challenging technical and mathematical problems that are of paramount importance to the company’s future. You will be tasked with architecting, collaborating and implementing solutions to technical problems that will put you in a position to learn and grow.\n\nYour mission will be to research, imagine, analyze, and ultimately build out methodologies for determining which marketing channels are having what effect on client purchase statistics. You will be the first data scientist hired specifically for this purpose, and thereby we are counting on you to design our approach to the unique problems at hand. You will do extensive research of existing methodologies and various practices employed by others in order to understand some of the inherent wider problems in this particular problem set. You will work with our extensive internal analytical toolset to vet various theories. You will collaborate with our broader data science team and actively seek their consultation as you hone your strategies. If you are an experienced data scientist with an in depth knowledge of statistics, then you will be a great fit for this position.\n\n\nAt AdRoll Engineering, we value the freedom and autonomy we give to our employees and urge everyone to use a multitude of different technologies based on their interests. In this position, you have the chance to create, build, and own complex modeling pipelines.\n\n\nResponsibilities:\n\n\n* Research key concepts around statistical multi-touch attribution\n\n* Work actively with existing datasci team members to understand their tech stack and toolset, and craft your own solutions\n\n* Validate hypotheses through rigorous analysis and testing\n\n* Work alongside our senior backend engineering team to realize your approaches in our production environment\n\n* Mentor, teach, hire, and share your knowledge to make our datasci and engineering teams stronger\n\n\n\n\nQualifications:\n\n\n* MS in Statistics\n\n* 5+ years working in datasci/analytics\n\n* Experience with big data processing pipelines\n\n* Familiarity or interest in Python, Docker, and AWS\n\n\n\n\nBonus Points:\n\n\n* Experience in the adtech industry\n\n* Experience building automated experiment testing pipelines\n\n\n\n\nCompensation:\n\n\n* Competitive salary and equity\n\n* Medical / Dental / Vision benefits\n\n* Paid time off and generous holiday schedule\n\n\n

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RedElastic


Data Science Lead

Data Science Lead


RedElastic


exec

data science

exec

data science

2yr
\nRedElastic is looking for a talented machine learning expert to help us craft the next-generation of social platforms. Leverage your deep knowledge of first-principles in machine learning and deep learning to implement matching algorithms in the social video space.\nWhat you will do day-to-day: \n * Design, implement, and optimize machine learning platforms in order to optimize peer-to-peer matches for real-time chat\n * Design and experiment machine learning/deep learning models so the quality of matches increases over time\n * Analyze and debug prediction models; live and breath design-oriented thinking\n * Collaborate with the development team to coordinate on all aspects of development\n * Help our clients choose the right technologies for their business needs (and avoid cargo cult programming)\n \n\n\nBenefits\n\nRedElastic is a small company without the bureaucracy of traditional consulting firms. We didn't start RedElastic to grow into yet another giant consulting company, we started RedElastic to create a home for the top talent in Canada so we could all build a brand we're proud of. We're very selective about who we hire, and even more selective about the client work we take on. This means you'll have a direct impact on the type of work we do as a team together.\nThe benefits of working at RedElastic:\n * Top-shelf compensation\n * Spend 2-5 days per week in our office in downtown Toronto, complete with free coffee, beer taps, and most importantly some great conversations with other talented folks; work from home the rest of the time\n * Remote applicants will be considered on a contract-basis\n * The ability to make a difference without the traditional boundaries of an enterprise role; create unique and compelling solutions without a hint of micromanagement\n * Take your career to the next level by participating in conferences, contributing to our blog, or even working on a book with us (well help you achieve your career goals in any way we can)\n \n

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Rainforest


Data Science Generalist

Data Science Generalist


Rainforest


python

machine learning

data science

python

machine learning

data science

2yr
We're looking for a Data Scientist/Machine Learning Engineer with a wide range of competencies. Rainforest is changing the way people do QA and data is at the heart of how we do that. From crowd management and fraud detection to data visualization and automation research, there are myriad opportunities to use your creativity and technical skills.\n\nWe are looking for someone who learns quickly and is a great communicator. Since we are a remote, distributed development team, decent writing skills and(over)communication is important to us. You can be based anywhere in the world (including San Francisco, where our HQ is located).\nWe regularly send our data scientists to conferences, both [to speak](https://www.youtube.com/watch?v=7_h8PElXio8) and just learn (e.g. last year we went to NIPS and KDD, this year to Europython and a couple of [PyDatas](https://www.youtube.com/watch?v=8kL71zk4KNk)). You can read about some of our work on [predicting test run durations](https://www.rainforestqa.com/blog/2017-11-07-how-to-predict-and-reduce-test-execution-time/) and how [Kaggle](https://www.rainforestqa.com/blog/2017-10-24-kaggle-perks-in-real-data-science-work/) can be useful in the real world. And hear some of our team members speak on the topic of Women, Company Culture, and Remote Teams [here](https://www.youtube.com/watch?v=BwKHfPgLcBY). \n\n

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Envision & Company Ltd.


Data Scientist

Data Scientist


Envision & Company Ltd.


javascript

react

mobile

machine learning

javascript

react

mobile

machine learning

2yr

Stats (beta): 👁 2,533 views,✍️ 0 applied (0%)
About Envision\nEnvision is a FinTech start-up company based at level 39 Canary Wharf London, Europe’s largest technology accelerator for FinTech. Envision is also a member of the Innovate Finance and very actively engaged with the London’s fast paced FinTech community. At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.\n\nEnvision has built a digital payments platform from scratch with the highest security standards (PCI-DSS Level 1). We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform.\n\nSpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data. Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent.\n\nWe are also adapting Spiral360, our innovative AI/machine learning enabled real-time fraud detection solution, to SpiralPay app with in-built machine learning/ AI algorithms for real-time fraud detection operating on the mobile device even while the user is offline. Using a unique personal behavioral map which is created and updated frequently after each transaction.\n\nWe are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.\n\nThe role\n\n• 1 Data Scientist\n\nWe are looking for an individual who has a strong coding background in Python. The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. Our primary focus is building statistical models as well as utilising machine learning and/or deep learning. Data manipulation skills in SQL based toolsets are also essential as is the ability to work with APIs (including defining APIs for Data science applications). This is an exceptional prospect with plenty of room for career progression.\n3+ years’ experience in Artificial intelligence/ Machine learning is required.\n\nData Scientist Job Responsibility:\n\n• Selecting features, building and optimising classifiers using machine learning based tools or processes within our company\n• Data mining using state-of-the-art methods\n• Ability to research, design and implement self-learning algorithms\n• Ability to clearly communicate the designed algorithms, data flows and outcomes\n• Develop models for fraud detection for various payment transactions and social media content\n• Strong skills in statistics, machine learning and/or deep learning\n• Demonstrated experience with development of high performance models used for real-time processing\n• Comfortable working with developers with the willingness to both teach others and learn new techniques\n• Processing, cleansing, and verifying the integrity of data used for analysis\n• Creating automated anomaly detection systems with constant performance tracking\n\nDesirables\n• Extensive experience with designing REST API\n• Knowledge of Spark, Kafka\n• Experience with Docker containers\n• Familiar with Unix operating systems (Ubuntu)\n\nPersonal Skills\n• Individual with a passion and enthusiasm to take on bigger challenges and stretching goals.\n• Success mindset.\n• Proactive and creative self-starter.\n• Problem solver with positive mental and learning attitude.\n• Team player with strong interpersonal, communication skills.\n• Can work in small team with a vision to grow.\n\nPlease check http://www.envisionworld.co for more information or contact us at [email protected]\n\nWe thank you in advance for your interest!\n\nThe Envision Team

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AdRoll


Lead Data Science Engineer

Lead Data Science Engineer


AdRoll


exec

data science

engineer

exec

data science

engineer

2yr
\nAbout the Role:\n\nMembers of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.\n\nOur advanced optimization team focuses on utilizing data to drive revenue at AdRoll while optimizing value for individual marketers across our growing product eco-system.\n\nYour main responsibility will be to lead a team that improves and scales our internal optimization algorithms. This means providing mentorship and guidance in statistics, experimental design, and large data processing tasks. You’re happy to jump in where needed, leveraging your software engineering expertise to help the team get where it’s going faster. You must have the ability to articulate recommendations in a clear and concise way. You will bring a real passion for finding creative end-to-end engineering solutions to complex business problems.\n\nResponsibilities:\n\n\n* Lead a team of Data Science Engineers responsible for optimizing campaign performance and pacing\n\n* Develop scalable algorithms to optimize and monitor campaign performances across a diverse group of over 30,000 marketers\n\n* Aid in the design of experiments to optimize user segmentation, campaign setup, and real-time bidding strategies\n\n* Report on department-level achievement of goals\n\n* Conduct reviews of code and system designs\n\n* Communicating and convincing vested stakeholders the nuanced benefits/drawbacks of proposed solutions.\n\n\n\n\nQualifications:\n\n\n* MS/BS in a quantitative field such as Statistics, Quantitative Finance, Physics or a related degree  \n\n* 4+ years industry experience is a requirement\n\n* Strong programming skills in Python\n\n* Deep statistical skills - experience conducting field experiments and interpreting results to partners\n\n* 2+ year experience with distributed analytic processing engines like MapReduce/Hive/Presto/Spark\n\n* Superb communication, organization, and problem solving skills\n\n\n\n\nBonus Points:\n\n\n* Background in online advertising\n\n* Prior experience leading small teams\n\n* Familiarity with a wide breadth of mathematical knowledge (e.g., convex optimization, Bayesian analysis)\n\n* Humor. Old school video games. Robots.\n\n\n\n\nCompensation:\n\n\n* Competitive salary and equity\n\n* Medical / Dental / Vision benefits\n\n* Paid time off and generous holiday schedule\n\n* The opportunity to win the coveted Golden Bagel award\n\n\n

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Wikimedia Foundation


Data Scientist

Data Scientist


Wikimedia Foundation


data science

data science

2yr
\nSummary\n\nThe Wikimedia Foundation is looking for a seasoned data scientist to join the Contributors team.  Data Scientists at the Wikimedia Foundation are key members of the product team who are the experts within the organization at measuring what is going on. Their analysis and insight help product analysts and managers envision, scope, and refine features, products, and services that are used by hundreds of millions of people around the world.\n\nYou will join the Contributors team, where we build collaborative, inclusive tools for creating and editing free knowledge.\n\nResponsibilities\n\n\n* Work closely with product managers to build out and maintain detailed on-going analysis of the team’s products, their usage patterns, and performance.\n\n* Write database queries and code to analyze Wikipedia usage volume, user behaviour, and performance data to identify opportunities and areas for improvement.\n\n* Run and analyze controlled experiments in order to inform product development.\n\n* Maintain and expand the team’s dashboards, ensuring they are up-to-date, accurate, fair and focused representations of the efficacy of the products.\n\n* Support product managers by rapidly surfacing positive and adverse data trends, and ad hoc analysis support as needed.\n\n* Communicate your findings clearly and responsively to a range of team, organisational, volunteer and public stakeholders, informing and educating them.\n\n\n\n\nRequirements\n\n\n* Bachelor's degree or equivalent in related work experience\n\n* Experience with using analytics infrastructure to extract patterns from large datasets\n\n* Experience supporting organisational teams with situational awareness and bespoke fact-finding data\n\n* Proficiency with SQL and either R or Python.\n\n* Strong eye for detail and a passion for quickly delivering results for rapid action.\n\n* Comfortable working in a highly collaborative, consensus-oriented environment\n\n* Demonstrated judgment skills to find solutions\n\n* Good written and verbal communication skills\n\n\n\n\nPluses\n\n\n* Experience working in an agile software development environment\n\n* Experience working with advanced analytics tools like Hive, Jupyter, and Bayesian statistics Experience with qualitative research methodologies such as user research or grounded theory\n\n* Familiarity with Wikipedia processes and workflows\n\n* Passion for Wikipedia and other Wikimedia projects\n\n* Fluency in languages other than English\n\n* Understanding of free culture, free software, and open source principles\n\n\n\n\nWe would love to see your work — please provide URIs to any existing open source software work or research code you may have done (own software or patches to other packages) if possible when you apply. We'd really like to see what you can do! \n\nBenefits & Perks *\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n* for benefits eligible staff, benefits may vary by location\n\nMore Information\n\nhttps://wikimediafoundation.org\n\nhttps://blog.wikimedia.org

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Sandvik Machining Solutions

 

Data Scientist For New Sandvik CODE

Data Scientist For New Sandvik CODE  


Sandvik Machining Solutions


dev

data science

digital nomad

dev

data science

digital nomad

2yr
\nWith local presence in 150 countries, north of 30 billion SEK in annual turnover and more than one Terabyte of machine data generated every second, Sandvik Machining Solutions is a world leader in engineering solutions the manufacturing industry. With its brand recognition and global reach, Sandvik aspires to help its 250 000 industrial customers embrace digital transformation, at scale, globally. To do so, it created CODE.\n\nCODE is a new, bold take on industrial digitization, tasked with the mission to design, build and deploy innovative, digital-first solutions to help solve the most important challenges Sandvik’s customers face across all of manufacturing. CODE is uniquely positioned to combine Sandvik’s deep industrial expertise with cutting-edge advances in machine learning, artificial intelligence and digital user experiences to create compelling, customer centric solutions to big problems.\n\nJob description\n\nWe’re looking for a senior data scientist to join us at Sandvik CODE as we strive toward shaping the way industrial companies take on digital transformation. Together with a dynamic team of experienced product managers, designers and engineers, you will work in close collaboration with our customers – all over the world – to identify, prototype and build compelling and purposeful use cases through machine learning, artificial intelligence and data mining.\n\nAs a team, we are deeply committed to transform the way Sandvik approaches digital solutions to hard problems. We view integrity, openness and accountability as cornerstones to our ability to deliver value in both the short and long term. Our operational model is rooted in design thinking, and we work closely with customers, partners and internal Sandvik teams to ideate, prototype and iterate concepts at a rapid pace. We exponentially scale only the solutions we can prove to drive substantial value creation for our customers. Nothing else matters.\n\nResponsibilities\n\n\n* Work with our executives, product managers, engineers and designers to identify and map out the most purposeful use cases for data science, machine learning and artificial intelligence inside Sandvik Machining Solutions\n\n* Work with Sandvik’s engineering teams to design and develop conceptual models and derive best practices for integrating data science into existing and new products and services\n\n* Prototype, validate and iterate data science-driven use cases across all of Sandvik’s strategic focus areas, including additive manufacturing (3D printing), metal cutting, logistics and planning, and cross-team collaboration\n\n\n\n\nSkills & Qualifications\n\nRequired\n\n\n* MSc. or PhD in Computer Science, Mathematics, Electrical Engineering or equivalent field\n\n* Strong, fundamental understanding of probability theory, signal processing and time series analysis, multinomial regression models and multi-class classification models\n\n* At least 4 years of experience designing, building and deploying data science solutions in a professional environment\n\n* Extensive experience producing production grade solutions using programming languages and frameworks for scientific computing, such as Python, R, Scala, Matlab or equivalent\n\n* Extensive experience in packaging, organizing and documenting data science-based solutions to enable integrations with external software systems\n\n* Extensive Experience working with machine learning frameworks such as Theano, Torch, Caffe, TensorFlow or equivalent\n\n* Experience working with visualization tools such as Matplotlib (Python), Zeppelin (Spark), or GGPlot2 (R) or equivalent\n\n* Extensive Experience working with relational databases, such as PostgreSQL and NoSQL databases, such as Apache Cassandra or equivalent\n\n* Experience with large, distributed file systems and data stores, such as Hadoop HDFS or equivalent\n\n\n\n\nPreferred\n\n\n* Experience working with web-based visualization tools such as D3.js or dygraphs\n\n* Experience working with Apache Spark and its related technologies, including SparkSQL and DataFrames\n\n* Familiarity with real-time streaming brokers, such as Kafka\n\n* Familiarity with graph databases, such as Neo4j, and their applications\n\n\n\n\nWe are a company with an open-minded culture, actively working to create a workplace that is characterized by diversity and inclusion. As our team at Sandvik CODE are truly international, we expect you to have excellent communication skills in English.\n\nBenefits of working for Sandvik in Stockholm, Sweden\n\n\n* 5-6 weeks’ paid vacation.\n\n* Flexible working hours.\n\n* Company pension scheme.\n\n* Paid Parental Leave after 1 years’ employment.\n\n* Performance-related bonus scheme.\n\n* Pay for your Stockholm subway travel card through monthly salary deduction.\n\n* After 1 years’ employment, you can choose between 3 days’ extra vacation, an additional annual pension contribution or a lump sum paid out simultaneously with your regular monthly salary.\n\n* Work in a world class innovation environment in the heart of Stockholm.\n\n* Subsidized healthcare and life insurance.\n\n* Subsidized gym membership.\n\n* Social Activities – socialize with other Sandvik employees through theme nights, activities and days out.\n\n\n\n\nContact information\n\nFor further information about this position, please contact:\nHugo Nordell, Recruiting Manager, +46 (0)26 266 242\n\nUnion contacts\n\nThomas Lilja, Unionen, +46 (0)70 261 04 82\nAnna Åkesson, Akademikerföreningen, +46 (0)70 642 83 29\n\nAs we have an ongoing selection process for this position, we’d like you to send us your application as soon as possible. Please showcase your skills by adding your StackOverflow or GitHub profile in your application.\n\nRecruitment Specialist\nRenée Nordström

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Doximity


Senior Data Scientist

verified

Senior Data Scientist


Doximity

verified

python

machine learning

data science

senior

python

machine learning

data science

senior

2yr
Doximity is the leading online medical network with over 70% of U.S. doctors as members. We have strong revenues, profits, real market traction, and we’re putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Launched by Jeff Tangney in 2011; Jeff previously founded healthcare pioneer Epocrates (NASDAQ: EPOC). Our beautiful offices are located in SoMa San Francisco.\n##Skills & Requirements\n- 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n- 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, deep learning) and parameters that affect their performance.\n- Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n- Experience with recommendation algorithms and strong knowledge of machine learning concepts.\nSolid engineering skills to build scalable solutions and help automate data processing challenges.\n- Excellent problem-solving skills and ability to connect data science work to product impacts.\n- Fluent in SQL and Python; experience using Apache Spark (pyspark) and working with both relational and non-relational databases.\n- Familiarity with AWS, Redshift.\n\n##What you can expect\n- Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact.\n- Leverage knowledge of recommendation algorithms to increase user engagement through personalization of delivered content.\n- Plan, engineer and measure outcomes of online experiments to help guide product development.\n- Collaborate with a team of product managers, analysts, data engineers, data scientists, and other developers.\n- Think creatively and outside of the box. The ability to implement and test your ideas quickly is crucial.\n\n##Technical Stack\n- We historically favor Python and MySQL, but leverage other tools when appropriate for the job at hand.\n- Machine learning (linear/logistic regression, ensemble-models, boosted-models, clustering, NLP, text categorization, user modeling, collaborative filtering, etc) via industry-standard packages (sklearn, nltk, -Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n- A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n- Storage solutions: Percona, Redshift, S3, HDFS, Hive, neo4j.\n- Computational resources: EC2, Spark.\n- Workflow management: Airflow.\n\n##Fun facts about the Data Science team\n- We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections.\n- We build code that addresses user needs, solves business problems, and streamlines internal processes.\n- The members of our team bring a diverse set of technical and cultural backgrounds.\n- Business decisions at Doximity are driven by our data, analyses, and insights.\n- Hundreds of thousands of healthcare professionals will utilize the products you build.\n- A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n- We like to have fun - company outings, team lunches, and happy hours!

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Mixtiles


Performance Marketer

Performance Marketer


Mixtiles


data science

marketing

design

digital nomad

data science

marketing

design

digital nomad

2yr
**About Mixtiles**\nWe’re helping people put photos on walls. Canvas prints and framed photos are OLD products that haven’t seen innovation in years. We’re using software, industrial design and operational excellence to redesign the entire experience, starting from your phone. Check out our apps (iOS, Android) and our video!\n\n**How important is performance marketing to Mixtiles?**\nPerformance marketing is the lifeline of Mixtiles. The driver of our growth. Our monthly budget is hundreds of thousands of dollars, and we constantly strive to increase it. We want to become one of the biggest spenders on the internet. Our R&D team invests a lot in collecting and analysing data from multiple resources. Our CEO invests much of his time into improving our methods.\n\n**What will you do?**\nYou will be owner, luminary, crowned head of our performance marketing. You’ll make smart decisions that will increase our ad spend while preserving our ROI. You’ll do that by scaling up our existing channels, and finding new channels. You’ll optimize our customer acquisition funnel. If you’re good, you’ll be able to spend 5 million dollars a month by the end of 2018. If you’re amazing, you’ll take this whole chunk of worries off of our CEO’s head.\n\n**Who should you be?**\nYou’re super smart and a whiz with numbers. You’re a great communicator, people who work with you love you. You’re a great professional, you are very knowledgeable in the art and science of performance marketing, and you’re relentlessly resourceful when things don’t work as planned. You’re a hands-on type, you can do a lot of stuff alone, and don’t need to rely on a huge, heavy team to get things done.

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RTB House


Data Scientist

Data Scientist


RTB House


data science

data science

2yr

Stats (beta): 👁 525 views,✍️ 0 applied (0%)
\nChcesz uczestniczy w budowie jednej z najpotniejszych na wiecie platform DSP, przetwarzajcej setki tysicy zapyta na sekund z latency time rzdu kilku ms? Uwielbiasz  programowa, ogromne zbiory danych, algorytmy optymalizacyjne i najnowsze metody machine learning?  We si zdecyduj i... docz do nas! \n\nTwoje zadania:\n\n\n* projektowanie i programowanie modeli matematycznych oraz algorytmów optymalizacyjnych sucych do przewidywania zachowa i preferencji internautów\n\n* analiza danych pod ktem ich przydatnoci do wykorzystania w konkretnych problemach\n\n* dostosowywanie budowanych rozwiza do wymaga produkcyjnego systemu (m.in optymalizacja latency czy zuycia zasobów) oraz koordynowanie procesu wdroenia\n\n* rozwój narzdzi do automatycznego przetwarzania i analizy danych\n\n* przeprowadzanie testów A/B nowych rozwiza\n\n* ciga optymalizacja istniejcych narzdzi i procesów\n\n\n\n\nNasze wymagania:\n\n\n* biego w programowaniu\n\n* bardzo dobra znajomo statystyki i rachunku prawdopodobiestwa\n\n* bardzo dobra znajomo zagadnie zwizanych z machine learningiem i ogólnym procesem konstrukcji i testowania modeli matematycznych czy algorytmów optymalizacyjnych\n\n* umiejtno dobierania najlepszych rodków do osignicia zoonych celów, np. poprzez elastyczne stosowanie jzyków programowania, frameworków, narzdzi itp.\n\n* ch do eksperymentowania i wycigania wniosków\n\n\n\n\nDodatkowymi atutami bd:\n\n\n* znajomo zagadnie zwizanych z sieciami neuronowymi i deep learningiem od strony teoretycznej i wykorzystania w praktyce\n\n* praktyczna znajomo wybranych frameworków takich jak: Torch, Theano, Caffe czy TensorFlow\n\n* dowiadczenie w programowaniu z uyciem GPU (CUDA, OpenCL...)\n\n* znajomo wybranych technologii Big Data takich jak: Hadoop, Crunch, Spark, Google Big Query, Aerospike oraz wszelkich innych najnowszych rozwiza z brany IT\n\n* gboka wiedza na temat sposobu dziaania ww. technologii, nie tylko na poziomie interfejsu czy funkcjonalnoci\n\n* dobre zrozumienie kompleksowych zagadnie IT, dotykajcych m.in. aplikacji high availability, high performance, cloud computing, microservices\n\n\n\n\nW zamian oferujemy:\n\n\n* prac w zrónicowanym zespole pasjonatów\n\n* dostp do najnowoczeniejszych technologii & wykorzystywanie ich w realnych projektach w krótkim czasie wdroeniowym (zobacz: http://stackshare.io/rtb-house i https://github.com/RTBHOUSE)\n\n* moliwo wykorzystania posiadanej wiedzy i kompetencji w praktycznych zastosowaniach – przy optymalizacji algorytmów kupujcych miesicznie miliardy odson reklamowych w modelu RTB obsugujcych setki milionów internautów, bazujc na obszernych zbiorach danych\n\n* moliwo projektowania i wdraania rozwiza w 3 data centers na rónych kontynentach (kilkaset serwerów fizycznych)\n\n* efekty Twojej pracy widoczne od razu w wynikach biznesowych firmy\n\n* wspóprac w modelu B2B z atrakcyjnym wynagrodzeniem\n\n* wyjtkowo elastyczne warunki pracy – pracujesz kiedy chcesz i skd chcesz\n\n* sprzt i oprogramowanie, jakiego potrzebujesz\n\n\n

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Nelio


React Ninja Data Scientist >> Food Tech Team

verified

React Ninja Data Scientist >> Food Tech Team


Nelio

verified

react

javascript

data science

react

javascript

data science

2yr

Stats (beta): 👁 480 views,✍️ 0 applied (0%)
\nNotre mission est de révolutionner la manière dont nous consommons !\n\nNelio livre dans l'heure les meilleurs commerçants de la ville, avec recettes et foodlists ! Après une année d'opération nous avons une très belle base client, d'excellentes metrics sur notre application, et une jolie serie A ! L'avenir s'annonce fascinant :)\n\nNous travaillons en mode agile, entourés par de la bonne cuisine, et d'excellents produits.\n\nHumble, rigoureux(se), et passionné(e), tu as envie de relever le challenge et de te faire plaisir, bienvenue !\n\nTu sera accompagné par le CTO, au sein d'une équipe solide et expérimentée. Nous avons une stack très sympa : http://stackshare.io/nelio/nelio-next (React, GraphQL, ...). Nous souhaitons construire une belle équipe sur la durée.\n\nVoici les différentes missions, nous pourrons en discuter suivant ce que tu souhaites faire :\n\n\n* Developper de nouvelles fonctionalités en Web et Mobile, à partir de design sur https://zeplin.io/\n\n* Améliorer la sémantique du catalogue pour la recherche et préparer le Machine Learning, aidé par 15 foodies dévoués\n\n* Implementer une première série d'algo pour afficher le bon produit au bon client, à accompagner de cohortes clients\n\n* Optimiser les opérations et la montée en charge\n\n\n\n\nRémunération suivant le profil, nous recherchons plusieurs profils en CDI, ou en stage de 3ème à 5ème année.\n\nTu as envie d'en savoir plus ? Ou tu souhaites commencer dès demain ? Contacte-nous et on discutera de vive voix :)\n\nAntoine Fraticelli\nCTO & Co-fondateur de Nelio\[email protected]\n06 71 15 58 59\nwww.nelio.io

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ZyLAB


Data Science Graduation Program Internships

verified

Data Science Graduation Program Internships


ZyLAB

verified

data science

data science

2yr
\nWould you like to join one of the most exciting and fast growing companies in the Netherlands? Would you like to be part of an international team of professionals and explore the frontiers of unstructured big-data based out of Amsterdam?\n\nFor nearly 30 years, ZyLAB has been a visionary in the data science space; unstructured big-data in particular. We are a global leader in the development of award-winning search, text-mining, machine learning, and other artificial intelligence technology.\n\nWith customers in 60 countries, our software is trusted by Fortune 1000 companies, law firms, courts, law enforcement agencies, and local and government agencies around the world.\n\nRecently, we started a new data science R&D department, which conducts research in the fields of intelligent search, information extraction (text-mining, semantic document representation methods, NLP, RDF), topic modeling (NMF, hierarchical clustering) and machine learning (SVM, Deep Learning, Maximal Entropy Modeling). This department is led by prof dr ir J.C. Scholtes, Chief Strategy Officer at ZyLAB and extraordinary professor in text-mining from the University of Maastricht.\n\nCurrently, we are actively looking for graduate students and interns, who are looking for paid and interesting research projects. The internships will allow you to learn how data science technology is applied in commercial and government organizations for mission critical applications and at the same time execute thorough scientific research.\n\nRequirements:\n\n\n* BSc and MSc students on Dutch or Belgium Universities\n\n* Fields related to data science such as AI, computer science, text-mining, and data mining.\n\n* Excellent programming skills in C#\n\n* Able to work in Amsterdam minimally 1-2 days a week\n\n\n\n\n\nIf you are interested, please contact us at [email protected], or reach out to us via our social media channels.

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MedSec.com


Data Scientist

Data Scientist


MedSec.com


data science

data science

2yr
\nWe are looking for an excellent candidate to extract the business information from the large data-sets we are working with. The information that comes out of the data sets will enable our customers to protect the sensitive medical data that is held on their networks.\n\nDuties range from optimising data formatting within a no-SQL database, machine learning across different data sets, to working with fuzzy logic to reason with incomplete data.\n\nExperience\n\n\n* \n\n5+ years data processing experience\n\n\n* \n\nSoftware development in C++/python/ruby\n\n\n* ElasticSearch / LogStash / kibana\n\n* \n\nProven technical expertise\n\n\n* \n\nProblem solving across a range of development challenges\n\n\n* \n\nExcellent communication skills\n\n\n\n\n\nBonus experience\n\n\n* \n\nReverse engineering\n\n\n* \n\nNetworking protocols including TCP/IP\n\n\n* \n\nCyber-security experience\n\n\n\n

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AdRoll


Senior Infrastructure Engineer Data Science

Senior Infrastructure Engineer Data Science


AdRoll


data science

senior

engineer

data science

senior

engineer

2yr

Stats (beta): 👁 335 views,✍️ 0 applied (0%)
\nAbout the Role:\n\nThe Data Science Engineering (DSE) team is responsible for the economics of AdRoll’s core product. Our in-house machine learning frameworks run over hundreds of terabytes of data daily, ensuring our pricing engine stays fresh and accurate as it bids on billions of ad opportunities. DSE Infrastructure members have a passion for technology and mathematics, keeping our machine learning and analysis pipelines humming at petabyte scales.\n\nAdRoll engineers are afforded significant autonomy. DSE Infrastructure engineers design their systems as they see fit, own their code, enable analysts to dive deep with ease, and ensure our hungry machine learning algorithms are fed. DSE Infrastructure engineers work on a variety of projects with data from disparate sources, but all at large scale.\n\nResponsibilities:\n\n\n* Create systems that monitor dataflow on a real-time basis\n\n* Design pipelines that generate predictive models for a variety of signals and tasks\n\n* Architect systems that crunch data and provide queryable interfaces for stakeholders\n\n* Ensure signals robustly make it to online prediction tasks in real-time\n\n* Integrate with external data sources to feed into existing datasets\n\n* Engineer data formats that help answer analysis questions efficiently\n\n\n\n\nQualifications:\n\n\n* BS in Computer Science or Computer Engineering\n\n* 3+ years experience with C, C++, Java, or other performant language\n\n* Experience with manipulating large datasets\n\n* Ability to architect scalable, high performance systems\n\n* Experience in distributed computing frameworks and paradigms\n\n* Enthusiasm to work in a fast-paced engineering team\n\n\n\n\nBonus Points:\n\n\n* Working knowledge of machine learning and statistics\n\n* Understanding of online ad industry\n\n\n\n\nCompensation:\n\n\n* Competitive salary and equity\n\n* Medical / Dental / Vision benefits\n\n* Paid time off and generous holiday schedule\n\n* The opportunity to win the coveted Golden Bagel award\n\n\n

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Inmar


Senior Data Science Engineer

Senior Data Science Engineer


Inmar


data science

senior

engineer

data science

senior

engineer

2yr

Stats (beta): 👁 405 views,✍️ 0 applied (0%)
\nThe Senior Data Science Engineer position is responsible for applying machine learning, data visualization, and other data science techniques to explore and create data-driven solutions to the problems and opportunities of Inmar’s business units, working closely with application engineering teams to bring those solutions to production. This role provides thought leadership on new products and solutions and identifies viable solutions through applied research.\n\nMajor Responsibilities/Essential Functions:\n\n\n\n* Use data science techniques and tools to explore and create solutions\n\n* Identify, extract, clean, and transform data\n\n* Work with business units and others to understand the problem space and challenges\n\n* Work with application engineering teams to bring solutions to production\n\n* Publicize results and findings via reports, presentations, and technical specifications\n\n* Keep skills and knowledge up-to-date\n\n\n\n\nEducation:\n\n\n* Required: Bachelor’s degree in Computer Science, Statistics, or any field with an applied quantitative and experimentation focus\n\n* Preferred: Masters or PhD in a quantitative and experimentation focused field\n\n\n\n\nRequired Qualifications:\n\n\n\n* Extensive experience with machine learning, data visualization, and other data science techniques using Python, R, Scala, or other languages\n\n* In-depth experience with database systems, both SQL and NoSQL, including Hadoop-based systems\n\n* In-depth experience with software development (scripting, programming, versioning, testing, deploying, etc.) on Linux and Microsoft platforms\n\n* In-depth experience with data processing, extraction, cleansing, and transformation\n\n* Experienced at preparing reports and giving presentations for technical and non-technical audiences\n\n* Self-directed and curious, but must be able to function well as part of a team\n\n* Good understanding of the scientific method\n\n* Constant learner\n\n\n\n\nPreferred Qualifications:\n\n\n* Experience with the SCRUM/Agile process\n\n* Experience with Tableau or other data visualization dashboard tools\n\n* Experience with Ansible and other deployment automation tools\n\n* Experience with cloud-based platforms, such as Azure\n\n\n

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Achievement Network


Director Data Science Insights

Director Data Science Insights


Achievement Network


exec

data science

exec

data science

2yr

Stats (beta): 👁 923 views,✍️ 0 applied (0%)
\nLocation:  Flexible (Boston, MA or New England region preferred)\n\nPosition available: November 2017\n\nTHE OPPORTUNITY\n\nWe are seeking a Director to join the Organizational  Effectiveness (OE) team.  The OE team ensures that ANet has the right goals that motivate and drive us to achieve our mission, spearheads our shared organizational focus on improving our core service model, and builds a research mindset and capability across ANet’s internal teams. This role reports to the Vice President, Org Effectiveness and is the ideal position for someone who has a passion for growing an organization’s confident use of data in order to shape strategic decisions and to deepen its long-term impact.\n\nANet is flexible to remote working, with occasional travel to ANet’s National Office in Boston. Therefore, proximity to the New England area and/or eastern time zone is preferable.\n\nWHAT YOU’LL DO\n\nExamine our organizational impact on school performance and hone our organizational focus on impacting school practice\n\n\n* Lead organization-wide school and student learning impact reporting against annual goals  \n\n\n\n\n\n\n\n\n\n* Manage complex analyses to extract new insights and year-over-year data patterns that convey a clear, compelling picture of ANet’s national impact over time\n\n* Convey results on goals in a way that is user-friendly and compelling for internal teams  and that can be used for external generalist audiences (i.e. impact statements)\n\n* Leverage strong visualizations and presentations to boost end user (primarily senior leadership & marketing/business development teams) comprehension of national impact results\n\n\n\n\n\n\n\n\n\n* Lead impact analyses that test and improve ANet’s core service model\n\n\n\n\n\n\n\n* Execute organization-wide annual analyses that identify the relationships between state assessment outcomes (student and school performance) and internal practice with inputs data sources (school demographic data, school practice data, partner school survey data, etc.)\n\n* Conduct complex analyses to  extract relevant findings/insights and year-over-year data patterns to share with senior leadership tied to 2020 strategic plan and impact vision\n\n* Partner closely with key business leads to identify annual prioritized research questions, drawing from prior years’ results, annual strategic goals, and ongoing learning agenda priorities\n\n\n\n\n\n\n\n* Lead reporting and analysis of ANet’s evolving non-core service model offerings to assess impact\n\n\n\n\nLead long-cycle learning on ANet’s core service model, primarily via mix of data collection and analytic improvement strategies\n\n\n* Lead data characterization and analyses of newer ANet data sources to deepen ANet’s ability to test and improve its core service model\n\n\n\n\n\n\n\n* Lead exploratory analyses of school partner data to produce new, actionable findings that accelerate improving ANet’s core service model and other service offerings\n\n* In collaboration with other OE team members and internal clients, set key research questions\n\n* Partner with key internal product and program teams to finalize use cases and baseline set definitions, metrics, and modes of analyses\n\n* Define reporting requirements for Engineering team\n\n* Examine and conduct feasibility checks of data in Google Analytics and identify and establish business and analytic rules for using tools such as unSampler\n\n* Explore opportunities with the Engineering team to identify longer-term data storage and cloud solutions\n\n\n\n\n\n\nWHO YOU ARE & WHAT YOU BRING\n\nMust Have:\n\n\n* You have prior experience and success designing and leading internal program evaluations and/or business intelligence projects for scaling organizations.\n\n* You bring proficiency and versatility with Excel and at least one statistical analysis software package (R, SAS, Stata, or SPSS) and are confident in advising others on matching the right analytic tool to the analytic task at hand.\n\n* You are optimistic that all of our schools can be successful if we learn together and that comes through in your facility with analyzing information and communicating complex findings to both technical and non-technical audiences.\n\n\n\n\n\n* You bring proficiency with data visualization software (i.e. Tableau) and website usage analytics and software tools (Google Analytics).\n\n* You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet’s Advance Equity and People Matter values\n\n\n\n\nNice to Have:\n\n\n* Prior experience in a school, education, or non-profit setting\n\n* Degree in quantitative field, program evaluation, analytics, or statistics\n\n* Proficiency with unSampler\n\n* SQL proficiency\n\n\n\n\nANet is committed to maximizing the diversity of our organization. We are an equal opportunity employer and encourage individuals of all ethnic and racial backgrounds and gender identities to apply to our positions.

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REAN Cloud


Senior Data Scientist

Senior Data Scientist


REAN Cloud


data science

senior

data science

senior

2yr
\nREAN Cloud is a Premier Amazon Web Services Provider and has grown over 500% in the past year and a half. That growth would not be possible without identifying top talent within one of the fastest growing verticals in technology. \n\nYou would be collaborating with a talented, senior team providing best-in-class solutions for extremely complex problems and have the ability to work on the most cutting edge technology platforms and tools available. \n\nIf you have experience automating large scale deployments with modern configuration and deployment management systems this could be the ideal role for you. REAN Cloud works with enterprise level organizations on some of the world’s largest automation and cloud deployment projects, and get to work with the coolest technologies throughout the process!\n\nData Scientist\n\nSkills\n\n\n* Extensive background leading analysis and modeling to provide business insights\n\n* Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, and predictive modeling\n\n* Hands-on experience developing advanced descriptive, real-time and predictive analytics in SQL, R, Python, Hadoop, Spark, SparkML, Hive, Presto, MXNet, TensorFlow\n\n* Experience developing machine learning solutions\n\n* Proficient with SQL databases and knowledge of standard methodologies\n\n* Expertise in creation of insights with reports and dashboards using industry standard business intelligence tools like Tableau, Looker and Jupyter Notebooks\n\n* Experience with AWS data services like Kinesis, EMR, Redshift, Data Pipeline\n\n* Ability to work with development teams to deliver high-quality\n\n* Agile / Scrum development methodology\n\n* Excellent documentation habits\n\n\n\n\nKey Focus Areas\n\n\n* Advanced statistical techniques to create high performing predictive models and creative analyses to address business challenges\n\n* Business intelligence visualization of insights for customers\n\n* Consultative customer interactions and deliverables\n\n* Large-scale data management & workflow\n\n* Analytic development and automation\n\n\n\n\n\nIf this sounds like something you’d be interested in pursuing, please don’t hesitate to apply today! We are growing at an unprecedented rate and this is a great time to get in on the ground floor of something extremely exciting.

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Stats (beta): 👁 1,511 views,✍️ 0 applied (0%)
\nWe have lots of data organised in different databases on different platforms and in different formats. We need someone that can wrap their head around our data and likes working on different pieces of analysis. If you’re an organised data guru that can think outside of a box, join our data team.\n\nLocation:\nAnywhere / remote\nWe prefer that you are between UTC-3 and UTC-8\nIf you prefer working in an office: Toronto or Grand Cayman are the options\n\nResponsibilities:\nYou’ll be working with our Data Engineer and Data Visualisation Expert to create new pieces of analysis\nYou’ll write Python scripts that pull data from APIs, websites via scraping, emails and then dump it into our Google BigQuery data warehouse.\nYou’ll work closely with different stakeholders across the organisation to make us more efficient by automating reports and dashboards. \nYou’re flexible and interested in different kind of problems: one day you might be building a solution for marketing, the next for our editorial team. \nYou can extract valuable insights from large pools of data, as well as to articulate these insights to other staff members and executives\nYou’ll will build some predictive models and answer questions around: Who will convert into a paying customer? What makes users post in our forums? Can we predict churn rates? What happens if we change X?\n\nMust-haves:\nUber analytical\nSQL experience, even better: BigQuery. We’re not a fan of MS SQL :)\nPython scripting experience well beyond print(‘Hello World’), pandas\nExperience with APIs, webscraping (selenium!)\nStats background, t-tests, regressions should be no brainers and random forests fun to walk through\nSome dashboarding experience, such as Google Data Studio\nYou’re creative, both in making visualisations of complex questions and in solving problems\nStrong communicator\nSuper organised\nA couple of years of experience with data wrangling\n\nNice-to-haves:\nRemote working experience\n\nWho we are:\nWith over 1,300 websites attracting more than 100 million monthly unique visitors, Toronto-based VerticalScope is one of the largest and fastest growing online publishers in North America. Our unique combination of wholly-owned community (forum) websites and professional content sites offers shoppers critical information that they can’t get from OEM sites or other interest-based portals, attracting a unique audience and blue chip advertisers seeking to reach them. These sites are organized into 9 different verticals including automotive, outdoors, powersports, pets, home, consumer technology and health & wellness, to name a few.\n\n\nHow to apply:\n\nSend a brief email to [email protected] explaining why you’d like to work with us and why we should hire you. Make sure the subject line is “Data Analyst.”\n

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Stats (beta): 👁 3,231 views,✍️ 0 applied (0%)
\nWe have lots of data organised in different databases on different platforms and in different formats. We need someone that is super interested in financial data and can build out time series models of how our expenditure and revenue will evolve. If you’re an organised data guru that can think outside of a box, join our data team.\n\nLocation:\nAnywhere / remote\nWe prefer that you are between UTC-3 and UTC-8\nIf you prefer working in an office: Toronto or Grand Cayman are the options\n\nResponsibilities:\nYou’ll be working closely with Finance and executives to answer key financial questions. The data you own can be trusted and you’re diligent at pointing out any caveats or issues in the data.\nYou’ll write Python scripts that pull data from APIs, websites via scraping, Google buckets and dumps it into our Google BigQuery data warehouse.\nYou’ll work closely with different stakeholders across the organisation to make us more efficient by automating reports and dashboards. \nYou’re flexible and interested in different kinds of problems. While your main area of expertise will be Finance, you might enjoy working on an impact study for Marketing \nYou can extract valuable insights from large pools of data, as well as to articulate these insights to other staff members and executives in a non-technical way\nYou’ll will build some predictive models and answer questions around: How do our acquisitions perform? Which acquisition will be the next superstar? What should our budget be?\n\nMust-haves:\nUber analytical\nSQL experience, even better: BigQuery. We’re not a fan of MS SQL :)\nPython scripting experience well beyond print(‘Hello World’), pandas\nExperience with APIs & web scraping (selenium!)\nStats background, t-tests, regressions should be no brainers and random forests fun to walk through\nSome dashboarding experience, such as Google Data Studio\nYou’re creative, both in making visualisations of complex questions and in solving problems\nStrong communicator\nSuper organised\nA couple of years of experience with data wrangling and financial data, particularly on the cost side\n\nNice-to-haves:\nMS Great Plains / Dynamics experience\nKnowledge of Aria, Zuora or other subscription billing platforms\nExperience with payment gateway sources such as Braintree or Vantiv\nRemote working experience\n\nWho we are:\nWith over 1,300 websites attracting more than 100 million monthly unique visitors, Toronto-based VerticalScope is one of the largest and fastest growing online publishers in North America. Our unique combination of wholly-owned community (forum) websites and professional content sites offers shoppers critical information that they can’t get from OEM sites or other interest-based portals, attracting a unique audience and blue chip advertisers seeking to reach them. These sites are organized into 9 different verticals including automotive, outdoors, powersports, pets, home, consumer technology and health & wellness, to name a few.\n\n\nHow to apply:\n\nSend a brief email to [email protected] explaining why you’d like to work with us and why we should hire you. Make sure the subject line is “Data Analyst and Engineer - Finance.”\n\n

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Stats (beta): 👁 627 views,✍️ 0 applied (0%)
As a Product Manager at CROmetrics, you will be a hybrid product manager, strategic thinker, account manager and data analyst. Your primary role is to partner with our clients to improve their websites through data-driven experimentation and personalization. A Product Manager spends much of their time interfacing with clients, designers and engineers. On the client side, the PM must be able to generate data-driven ideas that will improve revenue and other key metrics on client websites.\n\n*This position is fully remote and open to U.S.-based applicants only. Please note that we don’t hire external or offshore development agencies or use third party recruiters.*\n\nAs a PM, you will be leading all A/B testing and personalization experimentation for the client, which includes the following:\n+ Partnering with the client for the ideation, prioritization, road-mapping, design, and approval process for all hypotheses generation and experimentation\n+ Diving deep into the results to deliver the data story, learnings and recommendations from the experiment\n+ Collaborating with a remote team of engineers, designers and other PMs to support experiment ideation and execution\n+ Managing all aspects of the client relationship from daily experiment monitoring to kicking off the renewal process to evangelizing the value of CROmetrics\n\n### In addition, as a CROmetrics team member, you will:\n+ Support the professional growth of the team through leading and/or participating in ongoing training, e.g. book club\n+ Engage in non-client related activities that help grow our business, e.g. writing the PM job description or delivering hypotheses and mock-ups for a sales deck\n+ Actively participate in our remote culture\n\n### Who we’re looking for\nOur most successful candidates have the following skills/experience/traits:\n+ 5+ years of professional experience working in digital product management, user experience design or similar roles on consumer-facing web products\n+ Demonstrated extremely strong presentation and communication skills\n+ Built and delivered product roadmaps full of winning and losing ideas\n+ Passion for using data to improve user experiences\n+ Hands-on experience analyzing digital business data to inform decisions and plan strategically\n+ Worked cross-functionally in a highly collaborative environment, preferably in a remote capacity\n+ Genuinely like working with clients and their distributed stakeholder groups\n+ Love product strategy, but obsessed with the details on execution\n+ Lifelong learner\n\n### Our Culture\n+ We’re a remote company. We are spread out all over the country and enjoy the flexibility remote working affords. Want to go on a mountain bike ride in the middle of the day? Cool, don’t forget your helmet! Need to pick the kids up from school? Nice, you’ve got parent of the year in the bag. We stay connected through Slack and workcations, including one annual trip that is funded by the company.\n+ Our engineers value elegant code, but move fast. We’re writing code that runs on top of existing websites. Some tests only run for a few days before disappearing (though some do so well they become a permanent part of the client’s site). If “minimum viable product” isn’t in your lexicon, you aren’t a good fit.\n+ Communication is critical. We’re a remote company. That makes communication — including writing and reading comprehension — extremely important. You’ll work closely with engineers, designers and writers. This is not a simple “write specs and close tickets” gig. Successful applicants enjoy the process of defining and clarifying specs, documenting processes, improving processes, seeing their ideas and work affect millions of users, and uploading custom emoji to Slack.\n+ We’re relentlessly focused on our client’s happiness. The PM is a client-facing role. Managing a client relationship virtually takes a different type of skill set – the PMs have to be both a strategic partner, the customer (represented by the data), teacher and project manager over the phone/email/Slack, all while delivering an exceptional level of service. This type of interaction is not for everyone, and we completely understand. It’s not easy!\n+ We are not perfect. A the core of experimentation is the lesson to be learned from the test, whether a win, loss or inconclusive. We extend this concept to everything we do by setting the bar high for our team and fostering an environment of radical candor and constant learning.\nThis short essay sums up the philosophy we operate by: [A Message to Garcia](http://www.nato.int/nrdc-it/about/message_to_garcia.pdf). Sound like something you are interested in? Read on.

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Thinkful


Contract Data Science Bootcamp Mentor

Contract Data Science Bootcamp Mentor


Thinkful


data science

data science

2yr

Stats (beta): 👁 413 views,✍️ 0 applied (0%)
Contract: Data Science Bootcamp Mentor at Thinkful Inc. in Remote-U.S.A.

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SemanticBits


Data Scientist Engineer

Data Scientist Engineer


SemanticBits


data science

engineer

data science

engineer

2yr

Stats (beta): 👁 800 views,✍️ 0 applied (0%)
\nSemanticBits is looking for a Data Scientist eager to use advanced analytical, machine learning and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information. In some instances, you will be using languages like R or Python to employ newer techniques like tree ensembles, neural nets, and clustering to solve long-standing questions. In other instances, it will be your responsibility to come up with solutions for problems that have not yet been identified. In order to do so, the Data Scientist will have to be confident that they can solve a wide-range of problems using a variety of techniques—some known, some new, some yet to be created.

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Paktor Labs


Lead Data Scientist

Lead Data Scientist


Paktor Labs


exec

data science

exec

data science

2yr

Stats (beta): 👁 567 views,✍️ 0 applied (0%)
Full Time: Lead Data Scientist at Paktor Labs in Singapore , remote

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Stats (beta): 👁 1,632 views,✍️ 0 applied (0%)
HigherEducation.com partners with many of the most recognizable names in the online education industry to help them build their programs and expand student bases with our 75M annual site visitors. We also love to use cutting edge technologies to make developer life enjoyable and more productive.\n\nWe’re looking for an experienced, hands-on hybrid role of JavaScript Engineer and data scientist to join a major initiative at a critical point in our company’s growth. The ideal candidate (which means you, right?) will be responsible for debugging existing code bases and innovating new solutions through data science research. Other duties include enhancing & maintaining the core product, creating & maintaining the tests for various code repositories,\n\nThe position requires:\n- Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) or at least 5 years of development experience in a challenging, fast paced environment.\n- Demonstrated advanced proficiency in one or more of the following fields: Natural Language -\n Processing, Machine Learning, Deep Learning, Recommendation Systems.\n- Server-side JavaScript (e.g. Node.js - Express, Koa, Hapi).\n- Client-side JavaScript (e.g. React, MobX, Redux).\n- Build tools (e.g. Gulp, Grunt, Browserify, Webpack).\n- Exposure to AWS or other cloud platforms a plus.\n\n\nDesired qualifications include experience with:\n- Advanced degree is a plus but you're not just an academic -- you have hands-on software engineering experience applying complex algorithms to real-world problems at scale.\n- Work effectively in agile teams; get stuff done with minimal guidance and zero BS, help others and know when to ask for help. Clearly communicate complex technical and product issues to non-technical team members, clients, etc.\n- Bonus points for experience implementing machine learning algos on GPU's or other hardware acceleration!\n\n\nWhat it's like \n\nLast year, we had a blast. We personally enjoy getting rid of legacy code & turning servers off in favor of clean, new, tested services.\n\nEach project is fairly small in scope with a large amount of flexibility and freedom to discuss & find the best architecture for the job and for the team. Usually, a single person heads up a project, collaborates with another for architecture & solutions, and eagerly looks forward to launching (rather than endlessly polishing).\n\n- Slack for conversations.\n- Asana for project tracking & deliverables.\n- Github for code collaboration.\n- DroneCI for CI & CD.\n\nBeing in a USA timezone is highly desirable.\n\n\nFor example...\n\nIn 2016 we...\n\n- Built and deployed a central platform for managing monetization across our portfolio.\n- Broke up an old monolith into smaller Docker services running on Rancher and got a solid, always-deploying CI/CD pipeline.\n- Established a lightweight Agile process to aid developer efficiency from initiative to initiative.\n- Worked with in house teams to conduct research in the frame of Recommendation Systems with a working prototype.\n\nIn 2017 we're...\n\n- Building applications to expand the business into areas of organic growth.\n- Refactoring and simplifying our micro-services ecosystem.\n- Doubling down in a robust product recommendation approach to better serve our users.\n\n\nHuman Environment\n\n- Centrally located in downtown Houston, free employee parking.\n- Coed work environment, casual dress code.\n- Cool office perks (e.g. sodas & coffee, happy hours, etc.).\n- Generous salary considerations & full benefits.\n- 6% 401k matching\n- 100% health / vision / dental for you & subsidies for the rest of your family\n- 15 vacation & sick days / yr.\n- Gym membership reimbursement up to $100/mo\n\n\nWhat We Value\n\nWe love to work as a team but office hours are flexible. Producing is more important than meeting a 9 to 5 schedule. We understand there are moments when you need to isolate yourself to concentrate so working from home is permitted and encouraged.\n\nWe like to have a good time and minimize stress with good in-office coffee, ping pong, lounge/reading time and regular happy hours. We work hard and meet realistic deadlines. What good is delivering a poor product early?\n\nWe also understand that family is important, so time-shifting (and sometimes day-shifting) is necessary to deliver for both the team & your family.\n\n

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Toptal


Data Scientist

Data Scientist


Toptal


data science

data science

2yr

Stats (beta): 👁 1,282 views,✍️ 0 applied (0%)
\nAt Toptal, we measure everything and always rely on data to guide all of our initiatives, including both our long-term strategy and our day-to-day operations. As a Data Scientist on our Analytics Team, you will be working with our cross-functional team to model complex problems, discover actionable business insights, and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and operations across the company. We have freedom to choose the best tool for the job. That’s why:\n\n\n* Our infrastructure is in Google Cloud Platform\n\n* For research we leverage both Python and R\n\n* Our ETL pipelines and production models are in Python and Scala\n\n\n\n\nThe ultimate goal is solving real business problems. We work on problems that deeply affect the operation of our business. This ranges from predictive models, controlling and optimizing the client flow, and other very open-ended questions. For example, our stakeholders may ask if it is feasible to pursue a certain business direction and, if so, what are the implications on business processes and the costs of moving to that solution.\n\n\nThis is a remote position that can be done from anywhere. However, we do things like [rent out hotels in Africa or mansions in Thailand](https://www.toptal.com/remote/the-ultimate-remote-culture), and you will certainly be invited to come work with us.

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Thinkful


Data Science Mentor

Data Science Mentor


Thinkful


data science

data science

3yr

Stats (beta): 👁 593 views,✍️ 0 applied (0%)
\nMentor aspiring Data Scientists enrolled in Thinkful's Data Science School!\n\nThe intensive, 4-6 month course helps students become self-sufficient data scientists  capable of advancing their skills as they grow in their careers for years to come. As a Mentor, you will support students while they build projects as they master data science fundamentals. Ultimately, share best practices with the next generation of developers and teach them how to think like a data scientists so that they can continue their growth beyond the program.\n\nThinkful mentors work remotely and set their own hours. The role is a great fit for experts who genuinely love their work and want to share their expertise, experience, and themselves with awesome students and fellow mentors from around the globe!

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Zapier


Senior Data Science Engineer

Senior Data Science Engineer


Zapier


data science

senior

engineer

data science

senior

engineer

3yr

Stats (beta): 👁 908 views,✍️ 0 applied (0%)
\nHello! I'm Mike Knoop with the Product Team at Zapier. We're looking for someone to join our Data Team who can help us maintain, design and launch new data pipelines for our product that helps 1.5 million users (and growing) automate their tedious, everyday tasks so they spend less time working extra hours and more time enjoying what matters to them.  You’ll design and improve our data operations and you’ll get to work in the main Zapier code base as well as the Data Team’s R code base. You’ll have the opportunity to learn and work with Airflow, Kafka, Spark, Secor, Kubernetes, Docker, Redis, Redshift, MySQL, AWS and more.  If that sounds exciting to you, keep reading!\n\nWe're a widespread remote team of 62 people, located in eleven countries, that think computers should do more work. The Data Team currently has team members in Texas and Alabama. You don't have to be located in the USA, you just have to be talented!\n\nWe get together 2-3 per year for a company retreat (next one in is January), and benefits include great healthcare, dental and vision coverage, 401k retirement plan with company match, profit sharing and 14 weeks paid leave for new parents.\n\nIf you're interested in learning more about our Senior Data Engineer Role, visit the Jobs @ Zapier site.\n\nWe're not accepting applications from agencies.

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AdRoll


Senior Data Science Engineer

Senior Data Science Engineer


AdRoll


data science

senior

engineer

data science

senior

engineer

3yr

Stats (beta): 👁 547 views,✍️ 0 applied (0%)
\nAbout the Role:\n\nThe Data Science Engineering team writes the math and software that sit at the heart of AdRoll’s real-time bidding technology, our core product.  Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers.\n\nCurrent members of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.\n\nMoreover, AdRoll Engineering is broken out into small teams that have significant autonomy. We like to think of Data Science Engineering as a 'startup within AdRoll.' You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on AdRoll's core metrics.\n\nData Science Engineering is a small team with a variety of concurrent projects. Your interests dictate what projects you will tackle. The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data.\n\nCurrent projects include:\n\n\n* Enhancing our machine learning software with the latest in machine learning algorithms\n\n* Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions\n\n* Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.\n\n* Performing automated market analyses to dynamically react to changing market conditions\n\n\n\n\nResponsibilities:\n\n\n* Discover new predictive insights in our dataset\n\n* Design systems that regularly compute new predictive models\n\n* Read and conduct research to develop mathematical solutions to our most pressing problems\n\n* Engineer to put your research into practice\n\n* Ownership of a system that is the core of our intelligence products\n\n\n

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Thinkful


Data Science Bootcamp Mentor

Data Science Bootcamp Mentor


Thinkful


data science

data science

3yr

Stats (beta): 👁 688 views,✍️ 0 applied (0%)
\nMentor aspiring Data Scientists in Thinkful's Data Science Bootcamp!\n\nThe intensive, 4-6 month course helps students become self-sufficient data scientists  capable of advancing their skills as they grow in their careers for years to come. As a Mentor, you will support students while they build projects as they master data science fundamentals. Ultimately, share best practices with the next generation of developers and teach them how to think like a data scientists so that they can continue their growth beyond the program.\n\nThinkful mentors work remotely and set their own hours. The role is a great fit for experts who genuinely love their work and want to share their expertise, experience, and themselves with awesome students and fellow mentors from around the globe!

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Elastic


Data Scientist

Data Scientist


Elastic


data science

data science

3yr

Stats (beta): 👁 950 views,✍️ 0 applied (0%)
\nWith the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future. And in order to get there, our team is looking to hire an exceptional Data Scientist to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering.\n\nYour Role:\n\nAs a Data Scientist you will contribute to the Machine Learning team within Elastic by performing data analysis on large and complex datasets and represent findings effectively and clearly to various audiences.\n\nTo succeed in this role, you will be driven by a genuine interest for understanding and exploring data. You must be able to interpret customer requirements and map these to deliver real business value. Our ideal candidate must strive to seek answers to questions about data that the customer has both asked for, or didn’t yet know they needed.\n\nTypical projects you will be involved in will include:\n\n\n* Extracting valuable insight from real-world datasets. For example,\n\n\n* Understanding customer use cases\n\n* Transforming customer data\n\n* Analysing customer data using Prelert and/or other statistical tools\n\n* Examining Prelert models and results\n\n* Summarise dataset and valuable insights extracted from datasets.\n\n\n\n\n\n* Data extract, transform and load activity on large datasets\n\n* Generate test data sets for validating analytical functions and methods\n\n* Support engineers in development of big data anomaly detection analytic systems\n\n\n

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Elastic


Data Scientist For Elastic

Data Scientist For Elastic


Elastic


data science

data science

3yr

Stats (beta): 👁 440 views,✍️ 0 applied (0%)
\nWith the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future. And in order to get there, our team is looking to hire an exceptional Data Scientist to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering.\n\nYour Role:\n\nAs a Data Scientist you will contribute to the Machine Learning team within Elastic by performing data analysis on large and complex datasets and represent findings effectively and clearly to various audiences.\n\nTo succeed in this role, you will be driven by a genuine interest for understanding and exploring data. You must be able to interpret customer requirements and map these to deliver real business value. Our ideal candidate must strive to seek answers to questions about data that the customer has both asked for, or didn’t yet know they needed.\n\nTypical projects you will be involved in will include:\n\n\n* Extracting valuable insight from real-world datasets. For example,\n\n\n* Understanding customer use cases\n\n* Transforming customer data\n\n* Analysing customer data using Prelert and/or other statistical tools\n\n* Examining Prelert models and results\n\n* Summarise dataset and valuable insights extracted from datasets.\n\n\n\n\n\n* Data extract, transform and load activity on large datasets\n\n* Generate test data sets for validating analytical functions and methods\n\n* Support engineers in development of big data anomaly detection analytic systems\n\n\n

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RxSpeed.com


Data Science Engineer

Data Science Engineer


RxSpeed.com


data science

engineer

data science

engineer

3yr

Stats (beta): 👁 499 views,✍️ 0 applied (0%)
\n**NO RECRUITERS**\n\nBased in Stamford, Connecticut, RxSpeed Inc. is a venture-backed startup developing software for the automotive aftermarket. If you know someone who has modified the look or performance of their vehicle, we serve companies within the $40 billion annual auto parts industry commonly known as SEMA.  \n\nData Scientist\n\nRxSpeed is looking for a Data Scientist with Machine Learning experience.  They will lead development and execution of highly complex algorithms and statistical predictive models to determine analytical approaches along with modeling techniques within the automotive industry.  Lead and develop highly scalable classifiers and tools leveraging machine learning, data regressions, and rules based models.

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Automattic


Marketing Data Analyst

verified

Marketing Data Analyst


Automattic

verified

data science

marketing

analyst

non tech

data science

marketing

analyst

non tech

3yr

Stats (beta): 👁 3,844 views,✍️ 0 applied (0%)
\n\nAutomattic is looking for a data analyst to join the marketing team. You will distill data into actionable insights to guide our customer marketing and retention strategy as well as inform product development efforts.\n\nPrimary responsibilities include:\n\nBuild and maintain standardized reporting on key metrics across the customer lifecycle.\n\nDevelop customer segmentation models to inform tailored, multi-channel marketing strategies.\n\nConduct ad hoc analyses to better understand customer behavior, needs, and individual test results.\n\nPartner with other analysts and developers to increase data accessibility across the organization.\n\nDesign a process for prioritizing and communicating data requests and priorities.\n\nYou:\n\nAre proficient in SQL and Excel.\n\nHave experience with web analytics platforms such as: Google Analytics, KISSmetrics, or Mixpanel.\n\nHave experience working with marketing teams to deliver analyses and answer business questions.\n\nAre able to communicate data in a way that is easy to understand and presents clear recommendations.\n\nAre highly collaborative and experienced in working with business owners, executives, developers and creatives to discuss data, strategy and tests.\n\nHave excellent prioritization and communication skills.\n\nIdeally, have web development experience (though not required).\n\nLike all positions at Automattic, you’ll work remotely, and can be based wherever you live. It’s not a requirement that you live in or relocate to the Bay Area to do this job.\n\nHow to Apply\n\nDoes this sound interesting? If yes, please send a short email to jobs @ this domain telling us about yourself and attach a résumé. Let us know what you can contribute to the team. Include the title of the position you’re applying for and your name in the subject. Proofread! Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive hundreds of applications for every position, so try to make your application stand out. If you apply for multiple positions or send multiple emails there will be one reply.\n\n\n\nIf you're reading this on a site other than automattic.com please make sure you visit automattic.com/work-with-us for the latest details on applying. \n\nWant to increase your chances of standing out? If so, please address some or all of following points in your application:\n\nIf you were doing the job described above,  how would you approach evaluating the effectiveness of an email campaign designed to improve retention?\n\nTell us about an experience you’ve had using data to inform product or marketing decisions.\n\n← Work With Us\n\n

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Loci


Data Scientist Algorithms Heuristics Senior Developer

Data Scientist Algorithms Heuristics Senior Developer


Loci


data science

senior

dev

digital nomad

data science

senior

dev

digital nomad

3yr

Stats (beta): 👁 729 views,✍️ 0 applied (0%)
\nThis is an exciting opportunity to work on a platform accelerating technology innovation and serving your fellow engineers and entrepreneurs, and ultimately has high impact on the world, helping to solve the big problems. As an early stage company, Loci is a remote team (Northern Virginia based) tackling the large challenge of a getting a high growth company through early structuring. For early team members, there is virtually unlimited potential for growth. We are offering flexibility, equity, and salary components to facilitate getting the right team members on board, and in place for an exciting ride.\n\nLoci is seeking a Senior Developer and Data Scientist to help realize our product. At the core of our platform, a set of heuristics and algorithms express relationships among products, concepts, inventors, investors, etc. This algorithmic core is expressed in an extensive patent with related documentation and must be implemented to support a larger platform, including a novel search engine with crowdsourcing and other interesting functions. This will require math skills, algorithms, machine learning, communication skills, etc. and extremely talented and independent thinking engineers.

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Divergent Strategies


Data Scientist For Social App

Data Scientist For Social App


Divergent Strategies


data science

data science

3yr
\nWe believe in questioning paradigms and are developing an app that challenges widely held beliefs about social media. By daring to do 'social' differently, we solve many of the problems that are hindering social media's evolution. You will be joining a sophisticated team of developers, data scientists and entrepreneurs for the final stage of the app's development.   We are located in Los Angeles and prefer candidates from the area.

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Lynda


Data Science Author Opportunity From Linkedin

Data Science Author Opportunity From Linkedin


Lynda


data science

data science

3yr

Stats (beta): 👁 683 views,✍️ 0 applied (0%)
\nTransform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!\n\nAt Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.\n\nAre you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.\n\nIf you have a passion for and experience working with these technologies, let’s talk!\n\n\n* Matlab\n\n* DevOps in data science\n\n* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)\n\n* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning\n\n* QlikView and Qlik Sense\n\n\n\n\nAs a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?\n\nJoin our passionate and experienced team of educators and technologists!

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Lynda


Author Data Science Videos From Linkedin

Author Data Science Videos From Linkedin


Lynda


data science

data science

3yr

Stats (beta): 👁 709 views,✍️ 0 applied (0%)
\nTransform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!\n\nPlease note that this is a contract-based course instructor role, not an in-house developer position.\n\nAt Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.\n\nAre you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.\n\nIf you have a passion for and experience working with these technologies, let’s talk!\n\n\n* Matlab\n\n* DevOps in data science\n\n* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)\n\n* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning\n\n* QlikView and Qlik Sense\n\n\n\n\nAs a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?\n\nJoin our passionate and experienced team of educators and technologists!

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AutoLoop


Junior Data Scientist

Junior Data Scientist


AutoLoop


data science

junior

data science

junior

3yr

Stats (beta): 👁 2,985 views,✍️ 0 applied (0%)
\nAutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist / Data Analyst to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL. We are open to telecommuters for this position. Remote candidates need a dedicated office at home, a fast, reliable internet connection, and a good setup for Skype chats. We use Skype during interviews, and good video/audio quality is absolutely necessary.\n\nResponsibilities:\n\n\n* Collaborate with software developers to plan and construct the architecture surrounding model deployment.\n\n* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.\n\n* Design and implement creative approaches to predictive modeling problems.\n\n* Manipulate data to engineer new features and uncover insights.\n\n* Acquire any specialized domain knowledge required to be more effective in all required activities.\n\n\n

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AutoLoop


Data Scientist

Data Scientist


AutoLoop


data science

data science

3yr

Stats (beta): 👁 715 views,✍️ 0 applied (0%)
\nAutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL. We are open to telecommuters for this position. Remote candidates need a dedicated office at home, a fast, reliable internet connection, and a good setup for Skype chats. We use Skype during interviews, and good video/audio quality is absolutely necessary.\n\nResponsibilities:\n\n\n* Collaborate with software developers to plan and construct the architecture surrounding model deployment.\n\n* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.\n\n* Design and implement creative approaches to predictive modeling problems.\n\n* Manipulate data to engineer new features and uncover insights.\n\n* Acquire any specialized domain knowledge required to be more effective in all required activities.\n\n\n

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Autoloop


Data Analyst Scientist

Data Analyst Scientist


Autoloop


data science

analyst

data science

analyst

3yr

Stats (beta): 👁 713 views,✍️ 0 applied (0%)
\nAutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL. We are open to telecommuters for this position. Remote candidates need a dedicated office at home, a fast, reliable internet connection, and a good setup for Skype chats. We use Skype during interviews, and good video/audio quality is absolutely necessary.\n\nResponsibilities:\n\n\n* Collaborate with software developers to plan and construct the architecture surrounding model deployment.\n\n* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.\n\n* Design and implement creative approaches to predictive modeling problems.\n\n* Manipulate data to engineer new features and uncover insights.\n\n* Acquire any specialized domain knowledge required to be more effective in all required activities.\n\n\n

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DataRobot


Customer Facing Data Scientist

Customer Facing Data Scientist


DataRobot


data science

data science

3yr
\nAs a Customer Facing Data Scientists you will be expected to work with the Field Sales team members and lead Junior Sales Engineers in developing opportunities, analyzing customer requirements, and providing consultative selling skills in complex technical environments. You will be comfortable leading technical demonstrations of DataRobot. You will work with prospects and clients to extract and transform representative datasets for use in technical demonstrations. You will be responsible for architecting solutions to complex predictive analytics problems involving many diverse input data sources and high volume real-time implementation scenarios.

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TOTVS Labs


Data Scientist

Data Scientist


TOTVS Labs


data science

data science

3yr

Stats (beta): 👁 719 views,✍️ 0 applied (0%)
\nWho we are\n\nAt TOTVS Labs we are building a platform that combines data with AI. We democrtizing access to AI to hundreds of thousands of companies worldwide in several industries, such as Manufacturing, Financial Services, Retail, Health and Education. You can learn more here: www.fluigdata.com.\n\nWe are looking for a smart, self-motivated, and enthusiastic individual to join us on the journey in building the artificial intelligence of the future. You’ll get to work side by side with a small team moving at breakneck speed.\n\nA Data Scientist will\n\n\n* Design, develop and implement statistical models to carry out various novel aspects of problems related to industries like Manufacturing, Retail, Health and Education.\n\n* Using a combination of judgement and experience, create hypotheses to confront complex Natural Language Processing problems\n\n* Be capable of designing stringent tests of these hypothesis and use results to guide further development towards performance optimization\n\n* Familiar with or eager to learn various advanced statistical techniques to solve different optimization and constraint problems related to automating the coordination of people’s schedules and derivation of implicit and explicit preferences from email-related data\n\n* Be capable of visualizing and communicating data science concepts to other team members, and seek meaningful feedback from them\n\n\n\n\nIdeal Candidate\n\n\n* PhD in quantitative degree and/or relevant experience\n\n* Strong statistics background, ideally experience with Natural Language Processing techniques; loves building mathematical and probabilistic models and algorithms\n\n* Code experience in a production environment; familiar with data structures, parallelism and concurrency\n\n* Intellectually curious, collaborative, self-motivated, fast learner that comfortable working in a dynamic environment tackling challenging problems\n\n* Bonus: Experience with Scala, Spark, AWS, and CouchBase; implementation experience with supervised and unsupervised machine learning algorithms\n\n\n

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GitHub


Senior Data Scientist

Senior Data Scientist


GitHub


data science

senior

data science

senior

3yr

Stats (beta): 👁 1,483 views,✍️ 0 applied (0%)
Full Time: Senior Data Scientist at GitHub in San Francisco, California or Remote

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Zapier


Data Scientist

verified

Data Scientist


Zapier

verified

data science

data science

3yr

Stats (beta): 👁 1,953 views,✍️ 0 applied (0%)
\nWe're looking for a Data Scientist to join Zapier. Interested in supporting a product that helps the world automate their work so they can get back to living? Then read on...\n\nYou're both passionate about business and statistics. You're a maker and self-learner. Most of what you'll do is identify and prioritize our most valuable business problems, analyze the related data, and communicate actions teammates should take in response. Today, Zapier serves over 900k users, enabling them to connect over 600 apps in over a million ways, and we’re growing at a rate of 7% each month.\n\nPerhaps you’ve used econometrics to analyze business problems, run your own business, or helped a company grow in the past? You’re passionate about business. You enjoy helping teammates with pivot tables and spreadsheets and are interested in SaaS metrics like churn, lifetime value, activation, engagement and retention. Translating roughly defined business problems into clear statistical problems and back again will be key to this job.\n\nYou use Exploratory Data Analysis to learn the reasons behind data and communicate in polished and visually clear graphs. When communicating with teammates, you balance the essence of data with the complexity of data by designing clear statistics, graphs and tables that are easily digested by wide audiences. You seek domain expertise from your co-workers and apply a variety of statistical techniques to answer their questions.\n\nThe current data science stack is a unit-tested internal R library, an AWS Redshift database and an EC2 instance with gobs of memory. Need an RDS, S3 bucket or EC2? No problem, just spin one up.\n\nYou like to build tools for others that help them make decisions. You enjoy exploring data and helping others understand the narratives that appear in data. You also have a passion for business.\n\nHow to apply\n\nWe have a non-standard application process. Creativity is certainly encouraged. To jump start the process we ask a few questions we normally would ask at the start of an interview. This helps speed up the process and lets us get to know you a bit better right out the gate. Make sure to answer each question. Have fun with them. :-)\n\n* Send an email to [email protected]\n\n* Tell us about yourself.\n\n* Include links to any online code / repositories you've worked on.\n\n* Tell us about your favorite software library, package or technology.\n\n* Tell us about your favorite analysis technique and why it's useful.\n\n* Pick one specific data service you've designed and built. Explain your process from 0 to shipped. Include details of the technologies you used, why you chose them, what design patterns you tried and the trade-offs you had to make.\n\n\n\nFinally, wait for us to reply. I reply to everyone, even if we don't seem like a good fit.

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Luxia


FULL Stack DATA Scientist

FULL Stack DATA Scientist


Luxia


data science

full stack

data science

full stack

4yr

Stats (beta): 👁 671 views,✍️ 0 applied (0%)
\nDans le cadre de son développement, LUXIA recherche un(e) 'Data Scientist' — expert(e) des données — avec un profil informatique 'full stack'. Vous travaillerez principalement sur le hub juridique Alinéa by Luxia — alineabyluxia.fr — avec comme principale mission l'extraction, la structuration, l'analyse et la mise en valeur sur le web de données juridiques à travers la création d'algorithmes et de codes de traitement ad-hoc.

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