Card Data Science Manager - Customer Management

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One's US Card data science team seeks a Data Scientist to build real-time ML models on billions of records. You will partner with engineers, product managers, and analysts to deliver scalable insights using Python, AWS, H2O, and Spark.

You will translate complex analyses into business outcomes, validating models end-to-end and communicating results to non-technical stakeholders. The role offers a strong growth path in a data-driven environment.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years of analytics experience.
• Master's degree (quantitative) or MBA with quantitative concentration plus 4 years analytics.
• PhD in quantitative field plus 1 year analytics experience.

Responsibilities

• Partner with cross-functional data scientists, engineers, and product managers to deliver a product customers love.
• Leverage Python, Conda, AWS, H2O, Spark to analyze large numeric and textual datasets.
• Build ML models through design, training, evaluation, validation, and implementation.
• Translate complex work into tangible business goals for stakeholders.

Skills

Python

SQL

Machine Learning

Statistics

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

AWS

H2O

Spark

Conda

Job description

Capital One's US Card data science team seeks a Data Scientist to build real-time ML models on billions of records. You will partner with engineers, product managers, and analysts to deliver scalable insights using Python, AWS, H2O, and Spark.

You will translate complex analyses into business outcomes, validating models end-to-end and communicating results to non-technical stakeholders. The role offers a strong growth path in a data-driven environment.