Data Science Manager: Consumer/Developer Exp (Remote)

Capital One; Salt Lake City (UT); Remote; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Science Manager to support Consumer and Developer Experience (CDX) with a strong focus on data-driven product strategy and machine learning. You will collaborate with engineers, analysts, and product managers to ship customer-centric data products at scale.

The role emphasizes hands-on model development, cloud-based tooling, and translating technical work into business outcomes, with remote-eligible options and competitive compensation.

Qualifications

• Bachelor’s degree in a quantitative field plus 6 years of analytics experience
• Master’s degree in a quantitative field or MBA with quantitative focus plus 4 years of analytics experience
• PhD in a quantitative field plus 1 year analytics experience
• At least 1 year of experience with open source programming languages for large-scale data analysis
• At least 1 year of experience with machine learning and relational databases

Responsibilities

• Partner with a cross-functional team to deliver data products that move the business needle
• Leverage Python, AWS, Spark to analyze large numeric and textual data
• Build ML models from design through training, evaluation, and deployment
• Translate complex analyses into tangible business goals and actions

Skills

Statistical thinking

Leadership

Communication

Open-source tooling

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

Python

Conda

AWS

Spark

H2O

Job description

Capital One is seeking a Data Science Manager to support Consumer and Developer Experience (CDX) with a strong focus on data-driven product strategy and machine learning. You will collaborate with engineers, analysts, and product managers to ship customer-centric data products at scale.

The role emphasizes hands-on model development, cloud-based tooling, and translating technical work into business outcomes, with remote-eligible options and competitive compensation.