Base: $147,100 - $201,400 depending on location; b...
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Bachelor's or master's degree in quantitative field
5 years experience in data analytics
Experience with python, scala, or r
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Capital One is seeking a Principal Associate in Data Science for its US Card division, focusing on developing machine learning models and predictive analytics to enhance credit decision-making. The ideal candidate should have a strong quantitative background and experience with data analytics, machine learning, and collaborative, cross-functional work.
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Job Summary
The role involves developing industry-leading machine learning models to empower core underwriting decisions for US Card customers.
Candidates will apply cutting-edge explainability techniques to identify insights from complex models within a highly regulated industry.
Capital One offers performance-based incentive compensation including cash bonuses and long-term incentives alongside comprehensive health benefits.
Matching Summary
Match Score: 75
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Capital One is seeking a Principal Associate in Data Science for its US Card division, focusing on developing machine learning models and predictive analytics to enhance credit decision-making. The ideal candidate should have a strong quantitative background and experience with data analytics, machine learning, and collaborative, cross-functional work.
**
Salary
Base: $147,100 - $201,400 depending on location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other benefits included
Skills & Requirements
Must-have
Bachelor's or Master's degree in quantitative field
5 years experience in data analytics
Experience with Python, Scala, or R
Machine learning model development and validation
Statistical analysis including clustering and time series
Nice-to-have
Experience with distributed computing technologies
Knowledge of AI model explainability techniques
Background in applied research fields like physics
Ability to define and solve undefined problems
Cross-functional collaboration skills
Key Requirements
Bachelor's degree plus 5 years experience OR Master's plus 3 years
At least 3 years experience in Python, Scala, or R
At least 3 years experience with machine learning
Degree in Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science