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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
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Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 4 years’ experience in Python, PyTorch, Scala, or R At least 4 years’ experience with machine learning At least 4 years’ experience with SQL At least 4 years' experience working with natural language processing.
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Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app.
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