Senior Data Scientist, Card Analytics (Upmarket)

Capital One; Virginia (MN); Hybrid; USD 162,000 - 185,000; Full time

Benefits offered by this job

Health benefits

Competitive compensation

401(k)

Job summary

Capital One is seeking a Principal Associate in Data Science for US Card Upmarket Segments. You will collaborate with data scientists, engineers, and product managers to build scalable ML solutions that drive card offers personalization and strategic decisions across large datasets.

The role emphasizes a strong technical stack (Python, AWS, Spark, H2O) and a focus on delivering measurable business impact through data-driven insights.

Qualifications

• Bachelor's degree in a quantitative field plus 5 years of analytics experience.
• Master's or MBA with quantitative concentration plus 3 years analytics experience.
• PhD in a quantitative field preferred.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver data products.
• Develop ML models through all phases: design, training, evaluation, validation, deployment.
• Translate complex analyses into tangible business outcomes and decisions.

Skills

Python

Scala

R

SQL

Machine Learning

AWS

Spark

H2O

Conda

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

PhD in a quantitative field

MBA with quantitative concentration

Tools

Spark

H2O

Conda

Job description

Capital One is seeking a Principal Associate in Data Science for US Card Upmarket Segments. You will collaborate with data scientists, engineers, and product managers to build scalable ML solutions that drive card offers personalization and strategic decisions across large datasets.

The role emphasizes a strong technical stack (Python, AWS, Spark, H2O) and a focus on delivering measurable business impact through data-driven insights.