Senior Associate, Data Science

* **Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models*** **Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within data*** **Build statistical/machine learning models to challenge “champion models” that are deployed in production today*** **Contribute to the model governance of the next generation of machine learning models*** **Flex your interpersonal skills to present how model risks could impact the business to executives*** **Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.*** **Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.*** **Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.*** **Statistically-minded. You’ve built models, validated them, and backtested them. You have experience with a wide array of methods.*** **A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.*** **A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics*** **A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration******Preferred Qualifications:***** **Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)*** **Experience working with AWS*** **At least 2 years’ experience in Python, Scala, or R*** **At least 2 years’ experience with machine learning*** **At least 2 years’ experience with SQL**Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr