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Closed on August 18, 2026.
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Principal Data Scientist - Recommendation & Personalization Systems
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Job Description
Principal Data Scientist focused on recommendation and personalization systems, building high-scale ML models and personalized recommendation engines within Capital One's Applied AI team.
Responsibilities
- Collaborate with a cross functional team of data scientists, software engineers, and product managers to deliver a product that resonates with customers
- Utilize a broad tech stack including Python, Conda, AWS, H2O, Spark, and related tools to uncover insights from large volumes of numeric and textual data
- Develop machine learning models through all stages of development, from design and training to evaluation, validation, and deployment
- Translate complex work into clear business goals through strong interpersonal communication
Requirements
- Bachelor's Degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field, plus 5 years of data analytics experience
- Master's Degree in a quantitative field or MBA with a quantitative concentration, plus 3 years of data analytics experience
- PhD in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field
Technologies
- Python
- Conda
- AWS
- H2O
- Spark
Details
- Location: McLean, VA (onsite)
- Salary: USD 161,800 - 201,400 per year
- Posted: 7/07/2026
- Type: Full-time