Principal Data Scientist: Personalization & Recommendations

Capital One; San Jose (CA); On-site; USD 176,500 - 201,400; Full time

Job summary

Capital One is seeking a Principal Data Scientist for Recommendation & Personalization Systems. You will join an elite Applied AI team working on personalized experiences across Capital One’s web and mobile apps, building scalable recommender systems and deploying cutting‑edge models.

You’ll work with a broad stack including Python, AWS, Spark, and H2O to unlock insights from billions of records. The role emphasizes collaboration with data scientists, software engineers, and product managers to

Qualifications

• Bachelor’s Degree in a quantitative field plus 5 years data analytics
• Master’s Degree in a quantitative field or MBA with quantitative concentration plus 3 years data analytics
• PhD in a quantitative field in data analytics or related field

Responsibilities

• Partner with cross-functional team to deliver a product customers love
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large data
• Build ML models from design through training, evaluation and implementation
• Translate complex work into tangible business goals

Skills

Python

SQL

Spark

AWS

H2O

Conda

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field or MBA with quantitative concentration

PhD in a quantitative field

Tools

H2O

Spark

Conda

AWS

Job description

Capital One is seeking a Principal Data Scientist for Recommendation & Personalization Systems. You will join an elite Applied AI team working on personalized experiences across Capital One’s web and mobile apps, building scalable recommender systems and deploying cutting‑edge models.

You’ll work with a broad stack including Python, AWS, Spark, and H2O to unlock insights from billions of records. The role emphasizes collaboration with data scientists, software engineers, and product managers to