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๐Ÿ‘ฉโ€๐Ÿ”ฌ Data Scientist Remove this filter
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Median pay is $85,000/y

Ampcontrol


verified closed
๐ŸŒ Worldwide
 
๐Ÿ’ฐ $50k - $120k

algorithm

 

electric vehicles

 

heuristic

๐Ÿ”Ž3,174 opens
This job post is closed and the position is probably filled. Please do not apply.
## ๐Ÿš€About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## ๐ŸŒŽ Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## ๐Ÿ’ป The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## โญ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work โ€“ brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nBe sure to mention the words **TRAP PRIMARY BRASS** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants.\n\n \n\n#Salary and compensation\n$50,000 — $120,000/year\n\n\n#Location\n๐ŸŒ Worldwide


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Shopify


verified closed
Canada, United States

python

 

big data

 

object oriented programming

๐Ÿ”Ž2,423 opens
โœ… 119 applications (5%)
This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nData is a crucial part of Shopifyโ€™s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Job Description**\n\nDo you get excited about all things Data? Are you looking for a role where you can see the tangible results of your work? If you're excited by solving hard, impactful problems and you have a passion for logistics then our Staff Data Scientist may be right for you.\n\n**Qualifications**\n\n* 7-10 years of commercial experience in a data science role solving high impact business problems\n* You have well built technical experience that inspires individual contributors creativity and innovation.\n* You have experience with product leadership and technical decision making.\n* You have been working closely with various levels of business stakeholders, from c-suite and down.\n* You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.\n* Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.\n* Experience creating data product strategies, data products, iterating after launch, and trying again.\n* Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals.\n\n**What would be great if you have:**\n\n* Previous experience using Spark.\n* Experience with statistical methods like regression, GLMs or experiment design and analysis.\n* Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.\n\n**Additional information**\n\nIf youโ€™re interested in helping us shape the future of commerce at Shopify, click the โ€œApply Nowโ€ button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. \n\nBe sure to mention the words **SYSTEM SPORT CARBON** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants.\n\n\n\n#Location\nCanada, United States


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Shopify


verified closed
United States, Canada

data science

 

senior

 

azure

๐Ÿ”Ž2,603 opens
โœ… 126 applications (5%)
This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. Weโ€™re the worldโ€™s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopifyโ€™s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nBe sure to mention the words **RENT INHERIT SCALE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants.\n\n\n\n#Location\nUnited States, Canada


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AlphaSights

 This job is getting a high amount of applications right now (14% of viewers clicked Apply)

๐ŸŽˆ verified closed
Remote, New York

machine learning

 

sql

 

data science

๐Ÿ”Ž3,867 opens
โœ… 546 applications (14%)
This job post is closed and the position is probably filled. Please do not apply.
**Experienced Data Scientist**\n\nAt AlphaSights, we search through hundreds of millions of professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organizations. Our mission is to provide access to dispersed, hidden, and underutilized knowledge.\n\nAlphaSights' Data Scientists help to build new products and improve search and discovery. Working collaboratively with teams across the company, both within Engineering and with stakeholders, you will apply Machine Learning, data analysis, and predictive analytics to help distinguish signal from noise. You will work with unique, proprietary data sets that offer a window onto the world economy. Ultimately, your work will power the next generation of features to help us build our knowledge on demand offering.\n\n**You will:**\n\n- Have a good degree of autonomy, owning the full spectrum of data driven projectsย \n\n- Build recommendation systems and predictive models\n\n- Work directly with stakeholders and teams generating custom data sets to fully understand the problem being modeled\n\n- Write production level code to expose the models that you build\n\n- Contribute to our open source projects\n\n**You might be a fit if you:**\n\n- Have 3+ years of industry experience\n\n- Have experience with Machine Learning (ML), Statistical Modeling, Recommendation Systems, or Natural Language Processing (NLP)\n\n- Have strong SQL skills and enjoy extracting and manipulating data\n\n**Who you would work with:**\n\n- You would join a dynamic, multinational, and diverse team who enjoy solving interesting problems in a collaborative environment\n\n- Your co-workers will include motivated recent graduates from top Computer Science schools as well as experienced industry leaders from companies such as Google and Amazon\n\nDon't worry if your experience or background doesn't match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and weโ€™d love to [hear from you].ย \n\nFind out more: http://engineering.alphasights.com \n\nBe sure to mention the words **CORE DIFFER VANISH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants.\n\n\n\n#Location\nRemote, New York


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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