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56 Remote Engineer Data Science Jobs at companies like Thrive Global, Respondent and Doximity last posted 18 days ago

56 Remote Engineer Data Science Jobs at companies like Thrive Global, Respondent and Doximity last posted 18 days ago

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This month


Thrive Global

Team Lead Data Science Data Engineering


Thrive Global


exec

data science

engineer

exec

data science

engineer

18d

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{linebreak}Description{linebreak}{linebreak}Thrive 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.{linebreak}{linebreak}Who We Are Looking For{linebreak}{linebreak}{linebreak}* A versatile engineering leader with the ability and desire to be both hands-on and lead a team.{linebreak}{linebreak}* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}How You’ll Contribute{linebreak}{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Work with the team to design and build out production grade data processing tools and infrastructure. {linebreak}{linebreak}* 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. {linebreak}{linebreak}* Work with the team to put models into production.{linebreak}{linebreak}* Consider user privacy and security at all times.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Desired Skills{linebreak}{linebreak}{linebreak}* 2+ years experience leading a data engineering, data science, or machine learning team.{linebreak}{linebreak}* 5+ years of industry experience with data engineering, data science or machine learning.{linebreak}{linebreak}* Extensive programming experience in Java or Python.{linebreak}{linebreak}* Experience with AWS SageMaker, TensorFlow, or other cloud frameworks. {linebreak}{linebreak}* Familiar with various machine learning techniques and libraries.{linebreak}{linebreak}* BA/BS or MS in Computer Science, or equivalent experience.{linebreak}{linebreak}* A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Our Mission{linebreak}{linebreak}Thrive 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.{linebreak}{linebreak}What We Offer{linebreak}{linebreak}{linebreak}* A mission-driven company that’s truly making a difference in the lives of people around the world  {linebreak}{linebreak}* Ability to develop within the company and shape our growth strategy{linebreak}{linebreak}* Human-centric culture with a range of wellness perks and benefits{linebreak}{linebreak}* Competitive compensation package{linebreak}{linebreak}* Medical, vision and dental coverage + 401k program with company match{linebreak}{linebreak}* Generous paid time-off programs {linebreak}{linebreak}{linebreak}

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This year


Respondent

US-only

Data Engineer Data Scientist


Respondent


data science

engineer

data science

engineer

US-only5mo

Apply

{linebreak}Respondent 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.{linebreak}{linebreak}Work 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?{linebreak}{linebreak}{linebreak}You will be working with the CTO and three other engineers. This role is not a mid-level position. Remote US only{linebreak}{linebreak}What you'll do:{linebreak}{linebreak}{linebreak}* Build scalable backend data applications to support the growing needs of the business{linebreak}{linebreak}* Build data pipelines that collect, process, and compute business metrics from marketplace activity{linebreak}{linebreak}* Leverage best practices in continuous integration and delivery.{linebreak}{linebreak}* Collaborate with other engineers{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What we're looking for:{linebreak}{linebreak}{linebreak}* Expertise in building data or training pipelines using Spark or Hadoop{linebreak}{linebreak}* Experience in building production grade API to expose results{linebreak}{linebreak}* Extensive programming experience in Python/Scala/Java{linebreak}{linebreak}* A BS or MS in Computer Science or other related technical fields{linebreak}{linebreak}* At least 3 years experience in production environment{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus{linebreak}{linebreak}{linebreak}* Experience and interest in ML{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Job Conditions:{linebreak}{linebreak}Work remotely from anywhere{linebreak}Flexible schedule and a goal-oriented culture{linebreak}Competitive salary and opportunity to grow with the company{linebreak}Fun work environment and company culture with an upbeat motivated team{linebreak}{linebreak}Hiring Process{linebreak}{linebreak}Applicants 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.{linebreak}{linebreak}{linebreak}* Qualified applicants receive a few questions to answer{linebreak}{linebreak}* Selected candidates will be invited to schedule a 30 minute intro call with our CTO{linebreak}{linebreak}* Next, Candidates will be invited to schedule a behavioral interview with the CEO{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Next, candidates will be invited to review the technical test with our CTO and other software engineers.{linebreak}{linebreak}* Candidates will then be invited to schedule an additional interview with (CEO, CTO, COO){linebreak}{linebreak}* Successful candidates will subsequently be made an offer via email.{linebreak}{linebreak}* As always, the interviews and screening call will be conducted via a video call.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}This is a full time position - No Contractor{linebreak}{linebreak}We 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. {linebreak}{linebreak}#Location{linebreak}- 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.{linebreak}{linebreak}We 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.{linebreak}{linebreak}Our 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. {linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.{linebreak}* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.{linebreak}* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.{linebreak}* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems{linebreak}* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.{linebreak}* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.{linebreak}* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.{linebreak}* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.{linebreak}* Solid understanding of the foundational concepts of machine learning and artificial intelligence.{linebreak}* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.{linebreak}* 3+ years of experience using version control, especially Git.{linebreak}* Familiarity with Linux and AWS.{linebreak}* Deep learning experience preferred.{linebreak}* Work experience with REST APIs, deploying microservices, and Docker is a plus.{linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’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!{linebreak}{linebreak}*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.* {linebreak}{linebreak}# Requirements{linebreak}Use apply button

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Adroll

Data Science Engineer Attribution


Adroll


data science

engineer

data science

engineer

1yr

Apply

{linebreak} About the Role:{linebreak}{linebreak}AdRoll’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.{linebreak}{linebreak}This 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.{linebreak}{linebreak}Your 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.{linebreak}{linebreak}{linebreak}At 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.{linebreak}{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Research key concepts around statistical multi-touch attribution{linebreak}{linebreak}* Work actively with existing datasci team members to understand their tech stack and toolset, and craft your own solutions{linebreak}{linebreak}* Validate hypotheses through rigorous analysis and testing{linebreak}{linebreak}* Work alongside our senior backend engineering team to realize your approaches in our production environment{linebreak}{linebreak}* Mentor, teach, hire, and share your knowledge to make our datasci and engineering teams stronger{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}{linebreak}* MS in Statistics{linebreak}{linebreak}* 5+ years working in datasci/analytics{linebreak}{linebreak}* Experience with big data processing pipelines{linebreak}{linebreak}* Familiarity or interest in Python, Docker, and AWS{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus Points:{linebreak}{linebreak}{linebreak}* Experience in the adtech industry{linebreak}{linebreak}* Experience building automated experiment testing pipelines{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}{linebreak}* Competitive salary and equity{linebreak}{linebreak}* Medical / Dental / Vision benefits{linebreak}{linebreak}* Paid time off and generous holiday schedule{linebreak}{linebreak}{linebreak}

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Adroll

Lead Data Science Engineer


Adroll


exec

data science

engineer

exec

data science

engineer

1yr

Apply

{linebreak}About the Role:{linebreak}{linebreak}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.{linebreak}{linebreak}Our advanced optimization team focuses on utilizing data to drive revenue at AdRoll while optimizing value for individual marketers across our growing product eco-system.{linebreak}{linebreak}Your 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.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Lead a team of Data Science Engineers responsible for optimizing campaign performance and pacing{linebreak}{linebreak}* Develop scalable algorithms to optimize and monitor campaign performances across a diverse group of over 30,000 marketers{linebreak}{linebreak}* Aid in the design of experiments to optimize user segmentation, campaign setup, and real-time bidding strategies{linebreak}{linebreak}* Report on department-level achievement of goals{linebreak}{linebreak}* Conduct reviews of code and system designs{linebreak}{linebreak}* Communicating and convincing vested stakeholders the nuanced benefits/drawbacks of proposed solutions.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}{linebreak}* MS/BS in a quantitative field such as Statistics, Quantitative Finance, Physics or a related degree  {linebreak}{linebreak}* 4+ years industry experience is a requirement{linebreak}{linebreak}* Strong programming skills in Python{linebreak}{linebreak}* Deep statistical skills - experience conducting field experiments and interpreting results to partners{linebreak}{linebreak}* 2+ year experience with distributed analytic processing engines like MapReduce/Hive/Presto/Spark{linebreak}{linebreak}* Superb communication, organization, and problem solving skills{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus Points:{linebreak}{linebreak}{linebreak}* Background in online advertising{linebreak}{linebreak}* Prior experience leading small teams{linebreak}{linebreak}* Familiarity with a wide breadth of mathematical knowledge (e.g., convex optimization, Bayesian analysis){linebreak}{linebreak}* Humor. Old school video games. Robots.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}{linebreak}* Competitive salary and equity{linebreak}{linebreak}* Medical / Dental / Vision benefits{linebreak}{linebreak}* Paid time off and generous holiday schedule{linebreak}{linebreak}* The opportunity to win the coveted Golden Bagel award{linebreak}{linebreak}{linebreak}

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Adroll

Senior Infrastructure Engineer Data Science


Adroll


data science

senior

engineer

data science

senior

engineer

1yr

Apply

{linebreak}About the Role:{linebreak}{linebreak}The 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.{linebreak}{linebreak}AdRoll 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.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Create systems that monitor dataflow on a real-time basis{linebreak}{linebreak}* Design pipelines that generate predictive models for a variety of signals and tasks{linebreak}{linebreak}* Architect systems that crunch data and provide queryable interfaces for stakeholders{linebreak}{linebreak}* Ensure signals robustly make it to online prediction tasks in real-time{linebreak}{linebreak}* Integrate with external data sources to feed into existing datasets{linebreak}{linebreak}* Engineer data formats that help answer analysis questions efficiently{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}{linebreak}* BS in Computer Science or Computer Engineering{linebreak}{linebreak}* 3+ years experience with C, C++, Java, or other performant language{linebreak}{linebreak}* Experience with manipulating large datasets{linebreak}{linebreak}* Ability to architect scalable, high performance systems{linebreak}{linebreak}* Experience in distributed computing frameworks and paradigms{linebreak}{linebreak}* Enthusiasm to work in a fast-paced engineering team{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus Points:{linebreak}{linebreak}{linebreak}* Working knowledge of machine learning and statistics{linebreak}{linebreak}* Understanding of online ad industry{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}{linebreak}* Competitive salary and equity{linebreak}{linebreak}* Medical / Dental / Vision benefits{linebreak}{linebreak}* Paid time off and generous holiday schedule{linebreak}{linebreak}* The opportunity to win the coveted Golden Bagel award{linebreak}{linebreak}{linebreak}

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Inmar

Senior Data Science Engineer


Inmar


data science

senior

engineer

data science

senior

engineer

1yr

Apply

{linebreak}The 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.{linebreak}{linebreak}Major Responsibilities/Essential Functions:{linebreak}{linebreak}{linebreak}{linebreak}* Use data science techniques and tools to explore and create solutions{linebreak}{linebreak}* Identify, extract, clean, and transform data{linebreak}{linebreak}* Work with business units and others to understand the problem space and challenges{linebreak}{linebreak}* Work with application engineering teams to bring solutions to production{linebreak}{linebreak}* Publicize results and findings via reports, presentations, and technical specifications{linebreak}{linebreak}* Keep skills and knowledge up-to-date{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Education:{linebreak}{linebreak}{linebreak}* Required: Bachelor’s degree in Computer Science, Statistics, or any field with an applied quantitative and experimentation focus{linebreak}{linebreak}* Preferred: Masters or PhD in a quantitative and experimentation focused field{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Required Qualifications:{linebreak}{linebreak}{linebreak}{linebreak}* Extensive experience with machine learning, data visualization, and other data science techniques using Python, R, Scala, or other languages{linebreak}{linebreak}* In-depth experience with database systems, both SQL and NoSQL, including Hadoop-based systems{linebreak}{linebreak}* In-depth experience with software development (scripting, programming, versioning, testing, deploying, etc.) on Linux and Microsoft platforms{linebreak}{linebreak}* In-depth experience with data processing, extraction, cleansing, and transformation{linebreak}{linebreak}* Experienced at preparing reports and giving presentations for technical and non-technical audiences{linebreak}{linebreak}* Self-directed and curious, but must be able to function well as part of a team{linebreak}{linebreak}* Good understanding of the scientific method{linebreak}{linebreak}* Constant learner{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Preferred Qualifications:{linebreak}{linebreak}{linebreak}* Experience with the SCRUM/Agile process{linebreak}{linebreak}* Experience with Tableau or other data visualization dashboard tools{linebreak}{linebreak}* Experience with Ansible and other deployment automation tools{linebreak}{linebreak}* Experience with cloud-based platforms, such as Azure{linebreak}{linebreak}{linebreak}

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Semanticbits

Data Scientist Engineer


Semanticbits


data science

engineer

data science

engineer

2yr

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{linebreak}SemanticBits 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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Zapier

Senior Data Science Engineer


Zapier


data science

senior

engineer

data science

senior

engineer

2yr

Apply

{linebreak}Hello! 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!{linebreak}{linebreak}We'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!{linebreak}{linebreak}We 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.{linebreak}{linebreak}If you're interested in learning more about our Senior Data Engineer Role, visit the Jobs @ Zapier site.{linebreak}{linebreak}We're not accepting applications from agencies.

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Adroll

Senior Data Science Engineer


Adroll


data science

senior

engineer

data science

senior

engineer

2yr

Apply

{linebreak}About the Role:{linebreak}{linebreak}The 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.{linebreak}{linebreak}Current 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.{linebreak}{linebreak}Moreover, 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.{linebreak}{linebreak}Data 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.{linebreak}{linebreak}Current projects include:{linebreak}{linebreak}{linebreak}* Enhancing our machine learning software with the latest in machine learning algorithms{linebreak}{linebreak}* Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions{linebreak}{linebreak}* Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.{linebreak}{linebreak}* Performing automated market analyses to dynamically react to changing market conditions{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Discover new predictive insights in our dataset{linebreak}{linebreak}* Design systems that regularly compute new predictive models{linebreak}{linebreak}* Read and conduct research to develop mathematical solutions to our most pressing problems{linebreak}{linebreak}* Engineer to put your research into practice{linebreak}{linebreak}* Ownership of a system that is the core of our intelligence products{linebreak}{linebreak}{linebreak}

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Rxspeed.com

Data Science Engineer


Rxspeed.com


data science

engineer

data science

engineer

2yr

Apply

{linebreak}**NO RECRUITERS**{linebreak}{linebreak}Based 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.  {linebreak}{linebreak}Data Scientist{linebreak}{linebreak}RxSpeed 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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Adroll

Senior Full Stack Engineer Data Science


Adroll


data science

senior

engineer

full stack

data science

senior

engineer

full stack

3yr

Apply

{linebreak}About the role:{linebreak}{linebreak}The Data Science team at AdRoll is seeking a Senior Full Stack Engineer to build out green-field, mission-critical infrastructure. You'll work closely with Data Scientists on both the Engineering and Business Intelligence teams building out a system that will improve efficiency and performance across the whole company. This project will have a huge impact on how AdRoll conducts its future business. {linebreak}{linebreak}At AdRoll Engineering, we value the freedom and autonomy we give to our employees. As this infrastructure will be brand new, you will have the unique opportunity to truly lead the product development, employing the technologies you see fit to use. You'll create tools to help BI perform and analyze experiments across all of our ad systems, and then build infrastructure to codify and automate BI recommendations. As such, your work will scale gracefully and be extraordinarily fault tolerant.{linebreak}{linebreak}As you work with Data Scientists, you'll be expected to iterate on new mathematical and statistical ideas to boldly drive up the performance of all of our customers' campaigns. This means being excited about statistics is a plus, and, in particular, you’ll be able to see the effect your system has with our overall company metrics. Since this is a new initiative with a big impact, there's a fantastic opportunity to learn, grow, and become a powerful agent to affect the company's core metrics.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Write high quality, maintainable code as a senior member of the Data Science team.{linebreak}{linebreak}* Develop polished user interfaces, backend systems for managing data, and the APIs in the middle.{linebreak}{linebreak}* Work with product management and fellow engineers to plan features, create specs, and estimate effort.{linebreak}{linebreak}* Help establish technical standards as the product scales up.{linebreak}{linebreak}* Create a high-profile internal product that will revolutionize the way AdRoll does business.{linebreak}{linebreak}{linebreak}

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Crowdflower

Full Stack Engineer


Crowdflower


javascript

postgres

scala

ruby

javascript

postgres

scala

ruby

3yr

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{linebreak}About Us:{linebreak}CrowdFlower is changing the way work gets done, and we want you to help us make it happen.{linebreak}Were building a platform that makes it easy for data scientists to enrich their data by distributing work to an on-demand workforce located around the world. In addition to being an integral player in the red hot data science, machine learning and big data fields, we also provide critically needed work and income to millions of micro-tasking workers around the world. Everything our engineers do has real and tangible impact, everyday.{linebreak}We need smart, innovative people to help us build scalable, resilient and responsive systems, working with our exceptional team in San Franciscos Mission District. You can look forward to working with a dynamic, growing company in a casual and fun environment with an opportunity to make an impact at all levels of the business.{linebreak}Learn more about our engineering culture at http://www.crowdflower.com/careers/engineering.{linebreak}The Job:{linebreak}When we say Full Stack Engineer, we're looking for someone that is comfortable building custom UI/UX as well as defining API endpoints for the UI to communicate with. In terms of MVC, the position looks like: 5% M, 75% V, and 20% C. The primary tools you'll employ are Rails and jQuery. You like to work with different technologies and are passionate about constantly learning new things. You take pride in designing elegant, simple solutions to challenging problems, creating quality software components and promoting best practices for agile software development. You will help us ensure we continue to evolve and keep our edge as a world­-class development team. {linebreak}Responsibilities:{linebreak}* Distilling complex requirements into simple interfaces.{linebreak}* Defining the future of CrowdFlower's platform.{linebreak}* Building new products that use the core CrowdFlower platform.{linebreak}* Improve the interface that tens of thousands of CrowdFlower contributors and clients use everyday.{linebreak}* Take pride and ownership in your work and encourage others to do the same{linebreak}* Promote best practices for writing maintainable, well­-tested code{linebreak}{linebreak}{linebreak}Must Haves:{linebreak}* 3+ yrs experience on at least one significant production-level web app in Rails.{linebreak}* Experience in multiple programming languages (we primarily use Ruby and JavaScript).{linebreak}* A solid command of JavaScript. When something breaks, you either know exactly why it broke, or can find out easily.{linebreak}* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.{linebreak}{linebreak}{linebreak}Experience with these would be definite assets:{linebreak}* Client-side MVC - React and/or Backbone{linebreak}* Jasmine/TDD experience{linebreak}* An opinion about Web Components/ES6{linebreak}* Git skills and GitHub repos full of cool stuff you've hacked on{linebreak}* A great design aesthetic{linebreak}* PostgreSql, JQuery, Redis{linebreak}* AWS, Jira, Confluence.{linebreak}{linebreak}

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Simons Foundation

verified

UI UX Engineer


Simons Foundation


data science

ui

ux

engineer

data science

ui

ux

engineer

4yr

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{linebreak}To apply, send CV to [email protected]{linebreak}{linebreak}{linebreak}POSITION SUMMARY{linebreak}{linebreak}The Simons Foundation is seeking an experienced UI/UX Engineer to develop a highly interactive and effective user interface and work collaboratively with internal front-end and back-end developers. The UI/UX Engineer will make a direct and lasting impact on autism research by building an online platform supporting the engagement of tens of thousands of families affected by autism.{linebreak}{linebreak}{linebreak}ESSENTIAL FUNCTIONS/RESPONSIBILITIES{linebreak}{linebreak}{linebreak}* Design, develop and maintain effective user interfaces for querying, analysis and display of phenotypic, genetic and imaging data.{linebreak}{linebreak}* Work collaboratively and closely with other front-end engineers, back-end engineers, study coordinators, project managers and data analysts.{linebreak}{linebreak}* Participate in open source software development efforts that are aligned with foundation priorities.{linebreak}{linebreak}* Perform any other duties or tasks as assigned or required. {linebreak}{linebreak}{linebreak}

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Autonomy Engine

Data Scientist


Autonomy Engine


data science

engineer

data science

engineer

4yr

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{linebreak}Autonomy Engine is looking for a Data Scientist who is excited by challenges and being a critical part of a startup team.   We are initially seeking help on a two month project focused on the development of 'Vibe' models to predict human perception of specific speaking habits.  As part of our algorithm team, you will be working with data to identify trends or issues, select or engineer new features, and develop machine learning models.

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Ookla

Senior Systems Engineer


Ookla


cloud

sql

mobile

data science

cloud

sql

mobile

data science

4yr

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{linebreak}Quality internet matters to you, and youve probably used Ooklas tools to check your broadband or mobile data performance. You may be surprised to know that every day over 5 million people use our app on the web, on iOS and Android - it's even embedded in routers.  Our users love us - taking over 7.2 billion tests to date - in order to learn more about the service they are receiving from their ISPs, mobile carriers, etc.{linebreak}{linebreak}Ookla is a small team of passionate individuals who have turned a clever idea into a thriving business, and have gained an invaluable insight into the state of the Internet on a truly global scale. Were looking for a qualified and enthusiastic Senior Systems Engineer to bring their skills to our team. Someone to whom the idea of architecting, building and maintaining systems supporting such a high user and data volume is exciting. Someone eager to own the infrastructure of a service that you feel passionate about while helping to make the internet a better place for us all. {linebreak}{linebreak}This role will require frequent (near weekly) visits to our downtown Seattle office - the pinball machine isn't going to play itself after-all -  otherwise we are a largely virtual company with excellent workplace flexibility.{linebreak}{linebreak}RESPONSIBILITIES{linebreak}{linebreak}{linebreak}* Manage and maintain a global ecosystem of over 150 cloud, virtual, and physical servers running Linux, OpenSolaris, BSD and others supporting tens of millions of customer pageviews per day.{linebreak}{linebreak}* Contribute to systems architecture decisions, capacity planning, documentation{linebreak}{linebreak}* Maintain and extend systems management tools including Chef{linebreak}{linebreak}* Manage multiple high transaction level Percona MySQL clusters, Amazon RDS, and other database technologies{linebreak}{linebreak}* Batch and real time data processing of large customer data sets via SQL and custom tools{linebreak}{linebreak}* Support production systems in a 24x7x365 environment, including on-call responsibilities.{linebreak}{linebreak}* Support and collaborate with development, data analyst, sales and support staff{linebreak}{linebreak}* Mentor junior engineering staff{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Benefits{linebreak}{linebreak}Competitive Salary, dependent on experience{linebreak}{linebreak}Ookla has great benefits including competitive compensation, full medical, dental and vision benefits for you and your family, a generous vacation and holiday plan, and more. We also provide the best hardware, software and tools available for you to do your work.

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Medbravo

Data Scientist Fight Cancer


Medbravo


java

math

data science

stats

java

math

data science

stats

4yr

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{linebreak}Medbravo is an e-Health startup in the fight against cancer: we are bringing the power of big data on clinical trials in cancer research. Our team is building a disruptive software platform around clinical trials focused in oncology that connects hospitals across regions on an online digital infrastructure. Our platform aggregates and process clinical trials protocol data at a clinical depth meaningful for patients, doctors, researchers and pharmaceutical industry providing them with analytics and actionable insights.{linebreak}{linebreak}We need a java backend engineer to work with NLP (natural language processing), big-data, solr, hadoop .. In essence, if you are a fast learning engineer and you are interested in data-mining techniques and you enjoy building algorithms as well as applying math concepts, do not hesitate to contact us.

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Target

Sr Engineer Search Relevance


Target


scala

seo

mobile

data science

scala

seo

mobile

data science

4yr

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JOIN US A SR. ENGINEER - SEARCH RELEVANCE{linebreak}Target is one of the world’s most recognized brands and one of America’s leading retailers. But behind the brand our guests love, is a culture of continual innovation – and right now, we are up to big things. The Target Technology Team is driving a transformation in retail, one that will move us from “ and online” to “ and everywhere else.” Our goal is to deliver Target’s unique “Expect More. Pay Less.” promise to guests wherever and whenever they shop, today and tomorrow: in-store, online, on tablets and mobile phones, and in the retail channels of the future. {linebreak} {linebreak}You can be a part of developing and launching new services that power all the channels where Target does and will do business – in-store, web, tablet, mobile, and future channels. You’ll have the opportunity to design, develop and support innovative solutions across a variety of applications, platforms and environments, building tomorrow’s technologies in Search, Browse, Product Info, Promotions, Content and Checkout. You’ll put your skills, experience and passion to work in an entrepreneurial environment where success is rewarded.{linebreak} {linebreak}We are looking for highly motivated engineering professionals who can connect the in-store experience to the digital environment by creating scalable and seamless multi-channel experiences without losing the brand we are known for. Individuals in this role will have opportunities to gain a large breadth of knowledge by working with experts in the eCommerce, multichannel retail, product management and software engineering fields.{linebreak} {linebreak}As an engineer, you are a software developer with an entrepreneurial streak. You will build great products - ready to do whatever it takes to build scalable guest focused, world-class eCommerce applications for the Sr. Engineer. You like resolving complex business problems and find innovative solutions. You love keeping abreast of the latest industry trends and use them to help you innovate. You have strong leadership qualities, great judgment, clear communication skills and a track record of delivering great products.{linebreak}Key Responsibilities:{linebreak}* Lead and develop search relevance features on our ecommerce search engine {linebreak}* Define search metrics to validate and qualify search relevance on the engine {linebreak}* Unit test code and create automated test scripts {linebreak}* Lead discussions with other engineers and partners to ensure development meets business needs {linebreak}* Follow industry standard agile software design methodology for development and technical documentation {linebreak}* Research related products and implement innovative solutions {linebreak}* Mentor other engineers across product development teams {linebreak}* Innovate constantly and maintain the technical edge{linebreak}{linebreak}Minimum Qualifications:{linebreak}* 5+ years of software development experience with at least one full cycle implementation from requirement to production {linebreak}* Experience in one or more of these areas: Search Relevancy, Search metrics measurement, Query Classification, Lexical Matching, Dynamic ranking and Static Ranking {linebreak}* Excellent problem solver, data mining, and search algorithm development skills {linebreak}* Strong sense of ownership and the ability to work with a limited set of requirements {linebreak}* Team attitude {linebreak}* Strong verbal and written communication skills – able to document and share design and specifications with team members and partners.{linebreak}{linebreak}Desired Qualifications:{linebreak}* BS degree in computer science or equivalent {linebreak}* eCommerce experience with a track record of innovation {linebreak}* Extensive experience working in an agile environment (i.e. user stories, iterative development, etc.) {linebreak}* Experience with search engine development; relevance metrics measurement, such as NDCG, CTR, CTS; query understanding and classifier; and ecommerce data mining {linebreak}* Solr experience on Query Parser, Relevance Score calculation, Query Field design, Function Query {linebreak}* Coding experience in Solr/Lucene Plugins and extensions {linebreak}* Expertise in one or more of the following areas: search simulations, lexical matching, fuzzy matching technique, document static ranking, dynamic ranking, relevance tuning{linebreak}{linebreak}

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Documentcloud

verified

Data Engineer


Documentcloud


cloud

ruby

rails

api

cloud

ruby

rails

api

4yr

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{linebreak}We’re looking for a data engineer to join the growing team at DocumentCloud! If you’d enjoy a chance to help develop the next generation of our service -- an open-source civic platform that more than 1,000 news organizations use to analyze, annotate and publish documents for the public good -- we’d love to hear from you.{linebreak}{linebreak}This is a full-time, two-year position with full University of Missouri benefits funded by a grant from the Knight Foundation. We’re a nimble, tightly knit team that works remotely -- we stay connected via Slack and video chats -- so you can live where you’d like and work flexible hours.{linebreak}{linebreak}You’ll work on DocumentCloud’s processing pipeline, which makes searching and analyzing document collections accessible to journalists, to improve DocumentCloud's extraction and analysis capabilities. The pipeline consists of several open source tools wrapped up in our Ruby-based infrastructure (a Rails-driven API and our CloudCrowd parallel processing toolkit). You'll also play a key role in developing our production API capabilities, especially focused around what information we extract for users from documents and how best to do so.{linebreak}{linebreak}Our ideal candidate would have the following skills and qualities:{linebreak}{linebreak}-- Independent problem-solver who values learning, keeps current on trends, and knows how to pick the right set of tools for a problem.{linebreak}-- Able to write clean, well-documented code; you know your way around Git, and your Github account shows activity.{linebreak}-- Strong ability to collaborate and communicate with a distributed team.{linebreak}-- Ruby and Rails.{linebreak}-- Experience with Unix-based systems.{linebreak}-- Some knowledge of data science, linguistics, information extraction or search. SOLR experience is a bonus.{linebreak}-- An interest in language and data processing.{linebreak}-- Knowledge of SQL (Postgres preferred).{linebreak}{linebreak}You’ll join DocumentCloud at a significant time. We’re enjoying widespread use of our platform, and our tools have been used to investigate and publish stories from the grand jury decision in Ferguson, Missouri, to the Guardian's NSA spying leaks. We collaborate with organizations such as the Washington Post, The Associated Press and Mozilla's OpenNews fellows to build better ways to present the news, and you’ll have the chance to be part of the community exploring this intersection of news, data and technology.{linebreak}{linebreak}To apply, please contact us at [email protected]

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Tapway

Malaysia

Data Scientist Engineer


Tapway


data science

engineer

data science

engineer

Malaysia4yr

Apply

Job Description:{linebreak}{linebreak}- Lead the development of statistical models such as segmentation / clustering, predictive models and statistical insights using appropriate open-source tools{linebreak}- Mine and analyze data deeply to discover patterns and trends related to key business behaviors that drive customer acquisition, retention, and engagement{linebreak}- Coordinate with database experts and web developers to deliver a stable and highly available reporting platform{linebreak}- Provide technical expertise in statistical analysis, mathematical modelling, data mining and machine learning.{linebreak}- Have fun in a highly dynamic team and drive innovations to continue as a leader in one of the fastest-growing industries{linebreak}{linebreak}Job Requirements:{linebreak}{linebreak}- Candidate must possess at least a Bachelor’s Degree in Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science or related technical field. MSc or PhD a plus.{linebreak}- Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets{linebreak}- Expertise in statistical packages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, pandas){linebreak}- Knowledge in segmentation / clustering building, predictive analytics and statistical modeling{linebreak}- Basic proficiency in SQL{linebreak}- Individual who is passionate, resourceful, self-motivated, highly committed, a team player and able to motivate others{linebreak}- Strong leadership qualities{linebreak}- Good verbal and written communication.{linebreak}- Must be willing in work in highly dynamic and challenging startup environment.{linebreak} {linebreak}{linebreak}#Salary{linebreak}30000 - 45000{linebreak} {linebreak}{linebreak}#Equity{linebreak}30000 - 45000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Malaysia

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Stack Exchange

Data Science Engineer


Stack Exchange


data science

engineer

data science

engineer

4yr

Apply

{linebreak}Come help us create the future of Stack Overflow. We’re building our data team and are looking for a data scientist with strong programming skills, or a developer with strong data science inclinations. Some problems you could work on:{linebreak}{linebreak}{linebreak}* Identify low-quality questions on Stack Overflow{linebreak}{linebreak}* Recommend questions I can answer, or might be interested in reading{linebreak}{linebreak}* Match developers with the right job for them on Stack Overflow Careers, and companies with the right developers{linebreak}{linebreak}* Whatever else you can think of!{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We want to hire the right person wherever you are in the world. If you’re in New York or interested in relocating to our office, you’ll enjoy some amazing amenities like private offices and in-house chefs. If not, we’ll help you create your dream office at home, wherever that might be.

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Ecohealth Alliance

verified

DevOps Engineer


Ecohealth Alliance


devops

dev

mongodb

machine learning

devops

dev

mongodb

machine learning

4yr

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{linebreak}Are you interested in applying your technical skills to identifying the next global infectious disease threat?{linebreak}{linebreak}EcoHealth Alliance is seeking a DevOps engineer with database experience for our data science and research technology program. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll deploy and maintain tools to predict the next pandemic and support research teams in the field. As our first and only DevOps engineer, you will drive the direction of our infrastructure. Our work ranges from data mining and machine learning algorithms to web development, design, and visualization. If you're interested in working on those parts of the stack as well, you'll have that opportunity. We currently use AWS for hosting and Ansible for deployment, and MongoDB.{linebreak}{linebreak}The position is based at EHA headquarters in New York City (Manhattan). Local candidates are preferred, with possible relocation assistance available. Outstanding remote candidates will also be considered.{linebreak}{linebreak}EcoHealth Alliance offers a competitive salary and a comprehensive benefit package including health, dental, and vision coverage, and a 403(b) pension plan. EcoHealth Alliance is an equal opportunity employer.{linebreak}{linebreak}To apply, please email your resume and a PERSONALIZED COVER LETTER as one document to [email protected] with the subject of 'DevOps Engineer 2015'. In your cover letter, please briefly describe your past experience with programming, databases, and DevOps, and any experience with machine learning, natural language processing, and public health. Additionally please indicate how your skills and interests make you a great fit to work on a research-and-development oriented team at a health and conservation focused non-profit.{linebreak}{linebreak}{linebreak}ONLY APPLICANTS WITH PERSONALIZED COVER LETTERS WILL BE CONSIDERED. 

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Myfastestpath

Data Scientist


Myfastestpath


ads

data science

engineer

ads

data science

engineer

4yr

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{linebreak}Ever been stuck in traffic and thought to yourself, “This totally blows.” Well, now you have a chance to help poor sods everywhere free themselves from all this GD traffic gridlock.{linebreak}{linebreak}As a Data Scientist at MyFastestPath, you will be part of a small, distributed team of scientists and engineers working on the cutting edge of consumer navigation, route planning, and transportation science. We are creating robust web services that leverage sophisticated graph algorithms so that consumers and businesses can steer clear of traffic, save time and money, and reduce congestion on our roads. Bottom line: We’re here to save people’s sanity and put them back in control.{linebreak}{linebreak}Note: This job requires that you play tuba in our polka metal band called “Peekaboo Slugfest”. (Not really, but wouldn’t that be awesome!)

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Snapwiz

Bangalore

Data Scientist


Snapwiz


edu

teaching

java

c

edu

teaching

java

c

Bangalore4yr

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Every month Snapwiz collects millions of user interaction records on its online learning platform (Wiley Learning Spaces, Wiley Orion, McGraw Hill Easy, Edulastic, etc). We use statistical analysis and machine learning techniques to administer adaptive testing, build personalized learning paths, and deliver learning recommendations. {linebreak}{linebreak}As a data scientist, you’ll work with product managers, designers, and engineers to build data driven features directly into our learning platform. {linebreak}{linebreak}If you enjoy working with data to build models, and solve hard challenges, then this job is for you. {linebreak}{linebreak}{linebreak}Requirements:{linebreak}* Strong background in Machine Learning, Statistics,and Data Analysis{linebreak}* Ability to set and meet your own project objectives & milestones {linebreak}* Ability to manage and mentor a team of junior data scientists members {linebreak}* Experience in exploratory data analysis, modeling & visualization tools preferably R   and Shiny or Python/Pandas/Scipy/Numpy.{linebreak}* Critical thinking and creativity skills. We are looking for individuals who can think of novel ways to analyze data and solve problems {linebreak}* Communicate results and progress internally and externally in meetings, presentations, and tech talks{linebreak}* Master's (or advanced) degree or equivalent experience in a quantitative field {linebreak}* Experience programming in an object oriented language (Java, C++, etc) is a plus{linebreak}* Experience in handling and mining large data sets, parallelization and run time   optimization is a plus{linebreak}* Prior experience with data mining in education field is a plus {linebreak}{linebreak}#Salary{linebreak}1500000 - 2500000{linebreak} {linebreak}{linebreak}#Equity{linebreak}1500000 - 2500000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Bangalore

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Binder

Montreal

Data Scientist


Binder


matlab

data science

engineer

matlab

data science

engineer

Montreal4yr

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Binder is looking for Data Scientists to join our Engineering Team. Individuals in these roles are expected to be comfortable working as a quantitative researcher and a software engineer.{linebreak}{linebreak}If you are a phenomenal problem solver looking for cutting edge technical challenges with a team of experienced technologists, we look forward to hearing from you!{linebreak}{linebreak}Requirements{linebreak}- M.S or Ph.D. in a relevant technical field or 2+ years experience in a relevant role{linebreak}- Statistical modeling experience{linebreak}- Extensive experience solving analytical problems using quantitative approaches{linebreak}- Comfort manipulating and analyzing complex, high-volume, high dimensionality data from varying sources{linebreak}- Passion for answering hard questions with data{linebreak}- Familiarity with relational databases{linebreak}- Expert knowledge of analytic tools such as R, Matlab, or SAS{linebreak}- Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce/Hadoop/Hive, etc.) {linebreak}{linebreak}#Salary{linebreak}50000 - 70000{linebreak} {linebreak}{linebreak}#Equity{linebreak}50000 - 70000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Montreal

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Collegebol

Ahmedabad

Data Scientist


Collegebol


java

c

c plus plus

python

java

c

c plus plus

python

Ahmedabad4yr

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Requirements{linebreak}{linebreak}• Strong background in Machine Learning, Statistics, Information Retrieval, or Graph Analysis{linebreak}• Some experience working with large datasets, preferably using tools like Hadoop, MapReduce, Pig, or Hive{linebreak}• 3+ years experience in developing high quality software, contributions to open source projects are a plus{linebreak}• Experience programming in an object oriented language (Python, Java, C#, C++, etc){linebreak}• Knowledge of scripting languages like Python, familiarity with web frameworks a plus (Django){linebreak}• Ability to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems{linebreak}• Able to learn new data driven products, features, and technologies{linebreak}• Ability to plan, set and meet your own project objectives & milestones. {linebreak}• Ability to coordinate effectively with team members in engineering, design, and product management {linebreak}{linebreak}#Salary{linebreak}150000 - 210000{linebreak} {linebreak}{linebreak}#Equity{linebreak}150000 - 210000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Ahmedabad

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Dataculture

Gurgaon

Data Engineer Data Scientist


Dataculture


data science

engineer

data science

engineer

Gurgaon4yr

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JOB DESCRIPTION{linebreak}We are looking for a Data Scientist with solid machine learning background to work with our engineering team to improve and optimize our platform. You will have significant input into the team’s architectural approach and execution. We are looking for a hands-on coder who enjoys implementing algorithms as much as designing and fine-tuning them.{linebreak}{linebreak}RESPONSIBILITIES{linebreak}- Design scalable predictive models with large number of features{linebreak}- Be responsible for the machine learning implementation process: model design, feature planning, system infrastructure, production setup and monitoring, and release management{linebreak}Use machine learning techniques optimized for distributed computing environments{linebreak} {linebreak}QUALIFICATIONS{linebreak}- Computer Science and Math degree with a track record of build and deploying apps as a part of curriculum or side projects{linebreak}- Advanced knowledge of predictive analytics / statistical modeling / machine learning such as regression analysis, predictive models, Bayesian classification, collaborative filtering, decision trees, and clustering problems applied to large data sets{linebreak}- Expert in at least one of: Python, Java, Scala, C++{linebreak}- Good understanding of web technologies and {linebreak}- Full-time commitment{linebreak}{linebreak}DESIRED SKILLS{linebreak}- Familiarity with distributed systems and methodologies: Spark, Hadoop, MapReduce, Cascading, Hive, Pig{linebreak}- Experience with NoSQL / graph databases: Neo4J, MongoDB, Riak, Cassandra{linebreak}- Experience with cloud technologies: AWS, Rackspace, Azure{linebreak}{linebreak}ADDITIONAL INFORMATION{linebreak}We are a close-knit family who drink a little too much coffee, work late nights and brainstorm creative new ways to improve our solutions. We have a distributed team and can work from anywhere. Join us if you are interested in working in a dynamic and exciting start-up environment, being part of a world-class team, receiving individual and company performance bonuses, and indulging in free snacks, drinks, and food! {linebreak}{linebreak}#Salary{linebreak}600000 - 650000{linebreak} {linebreak}{linebreak}#Equity{linebreak}600000 - 650000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Gurgaon

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