Senior Data Scientist - Optimization & Impact

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is hiring a Manager, Data Scientist – Optimization in McLean, VA. The role focuses on designing in-market experiments, translating complex business challenges into optimization problems, and deploying scalable models using Python and solvers.

You will collaborate with product, engineering, and business teams to integrate optimization into existing workflows and build ML models through all development phases.

Qualifications

• Bachelor’s degree or higher in a quantitative field with relevant analytics experience.
• Experience building and evaluating optimization models (linear, MILP, non-linear, heuristic).
• Proficiency in Python and data analysis libraries.
• Knowledge of relational databases and cloud platforms like AWS.
• Experience with experimentation and in-market validation.

Responsibilities

• Work with Product Managers and Business Analysts to design in-market experiments, validating assumptions before full-scale development.
• Formulate & Solve Complex Problems: Translate business challenges into structured mathematical problems and optimization models.
• Build & Deploy Scalable Models: Develop, test, and deploy production-grade optimization algorithms and simulation models using Python and solvers.
• Collaborate Cross-Functionally: Partner with Product, Engineering, and Business teams to integrate optimization engines into existing systems and workflows.
• Build machine learning models through all phases from design to implementation.

Skills

Optimization modeling

Python

SQL

Machine Learning

Experiment design

Education

Bachelor’s degree in a quantitative field

Master’s degree or PhD in STEM

Tools

SQL databases

AWS

Open-source tools

Job description

Capital One is hiring a Manager, Data Scientist – Optimization in McLean, VA. The role focuses on designing in-market experiments, translating complex business challenges into optimization problems, and deploying scalable models using Python and solvers.

You will collaborate with product, engineering, and business teams to integrate optimization into existing workflows and build ML models through all development phases.