Senior Data Scientist — ML for Customer Outcomes

Capital One; Cambridge (MA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the US Card Data Science organization. You will work across billions of records to build and deploy ML models supporting marketing, acquisitions, underwriting, and fraud prevention.

The role emphasizes translating complex insights into business impact, using Python/Conda/AWS/Spark among other technologies. Collaboration with product managers and engineers is central.

Qualifications

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

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from large data.
• Build machine learning models from design through training, evaluation, validation, and implementation.
• Translate complex work into tangible business goals with strong communication.

Skills

Python

Scala

R

SQL

Machine Learning

AWS

Education

Bachelor's Degree in quantitative field

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

PhD in quantitative field

Tools

AWS

Job description

Capital One is seeking a Data Scientist to join the US Card Data Science organization. You will work across billions of records to build and deploy ML models supporting marketing, acquisitions, underwriting, and fraud prevention.

The role emphasizes translating complex insights into business impact, using Python/Conda/AWS/Spark among other technologies. Collaboration with product managers and engineers is central.