Senior Associate, Data Scientist
Capital One • McLean, VA2d • $135,600 - $154,800
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Senior Associate, Data Scientist - Capital One Personal Loan
Capital One•McLean, VA
•$135,600 - $154,800
About The Position
Capital One’s Personal Loan Acquisition modeling team builds machine learning models to help customers access suitable loan products and rates. The team develops predictive TDR and non-TDR models for acquisition processes such as list selection, campaign and channel optimization, underwriting, pricing, and verification, using technologies including Python, Spark, and AWS. The Data Scientist partners with data scientists, software engineers, and product managers to deliver customer-focused products. The role uses technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data. It involves building machine learning models through design, training, evaluation, validation, and implementation, and communicating analytical work in terms of business goals. Capital One seeks an innovative, creative, technically capable, statistically minded candidate with experience working with data and developing data science solutions using open-source tools and cloud computing platforms.
Requirements
- Currently hold, or be in the process of obtaining by the scheduled start date, a bachelor’s degree in a quantitative field plus 2 years of data analytics experience; or a master’s degree in a quantitative field; or an MBA with a quantitative concentration.
- Bachelor’s degree option: degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field, plus 2 years of experience performing data analytics.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models, and interpreting measures such as confusion matrices and ROC curves.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Ability to retrieve, combine, and analyze data from varied sources and structures.
Nice To Haves
- Master’s degree in a STEM field or PhD in a STEM field.
- Experience working with AWS.
- At least 2 years of experience in Python, Scala, or R.
- At least 2 years of experience with machine learning marketing or risk modeling.
- At least 2 years of experience with SQL.
- Stays current with emerging technologies and published state-of-the-art methods, technologies, and applications.
Responsibilities
- Partner with data scientists, software engineers, and product managers to deliver a product customers love.
- Use technologies including Python, Conda, AWS, H2O, and Spark to uncover insights from large volumes of numeric and textual data.
- Build machine learning models through design, training, evaluation, validation, and implementation.
- Translate complex analytical work into tangible business goals.
- Develop models for personal loan acquisition processes, including list selection, campaign and channel optimization, underwriting, pricing, and verification.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
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