Lead Data Scientist & Analytics Manager

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One in Richmond, VA is seeking a Data Scientist to join a team responsible for modeling billions of records and delivering data-driven decisions that matter to customers. You will collaborate with engineers and product managers, apply open-source tools like Python and AWS, and build models from design through deployment, delivering measurable business impact.

The role emphasizes experimentation, rigorous evaluation, and clear communication of business value, with opportunities for growth

Qualifications

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

Responsibilities

• Partner with 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 sets
• Build machine learning models through all phases of development from design to deployment
• Translate the complexity of your work into tangible business goals

Skills

Customer first

Innovative

Creative

Leader

Technical

Statistically-minded

Data guru

Education

Bachelor’s degree in quantitative field

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

PhD in quantitative field

Tools

Python

Conda

AWS

H2O

Spark

Job description

Capital One in Richmond, VA is seeking a Data Scientist to join a team responsible for modeling billions of records and delivering data-driven decisions that matter to customers. You will collaborate with engineers and product managers, apply open-source tools like Python and AWS, and build models from design through deployment, delivering measurable business impact.

The role emphasizes experimentation, rigorous evaluation, and clear communication of business value, with opportunities for growth