Senior Associate, Data Scientist - Bureau Data Strategy
$135,600–$154,800 year
On-siteNew York City, New York, United States or McLean, Virginia, United States
Job Summary
Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver products that leverage Python, Conda, AWS, H2O, and Spark to reveal insights from massive credit bureau datasets. Build machine learning models through design, training, evaluation, and implementation, translating technical complexity into tangible business goals for underwriting decisions. Retrieve, combine, and analyze data from varied sources to shape the future of how credit bureau data is utilized. This role supports the Bureau Data Strategy team at Capital One, a Fortune 200 leader in data-driven decision-making, focusing on unlocking opportunities that help customers save money and time.
Required Qualifications
- Currently has, or is in the process of obtaining 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
- Currently has, or is in the process of obtaining 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
Desired Qualifications
- Master's Degree in STEM field (Science, Technology, Engineering, or Mathematics), or PhD in STEM field (Science, Technology, Engineering, or Mathematics)
- At least 2 years of experience working with PySpark for large scale data analysis
- At least 2 years of experience in Python, Scala, or R
- At least 2 years of experience with machine learning
- At least 2 years of experience with SQL
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