Manager, Data Science and Optimization

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $197,300–$225,100 / yr
Posted: 30 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k

This role $211k

$155k most similar roles pay here $256k

This role pays more than 59% of similar roles. Most pay $165,000–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Science and Optimization

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Manager, Data Science and Optimization - Retail Bank joins a high-performing modeling and analytics team focused on defining the next generation of banking through advanced statistical modeling and innovation. In this role, you will translate ambiguous business challenges into structured mathematical problems by designing and implementing optimization models, including linear, mixed-integer, non-linear, and heuristic models. You will build, test, and deploy production-grade optimization algorithms and simulation models to enable automation and in-moment decisioning. The work involves leveraging machine learning, distributed computing, and cloud platforms to solve complex business problems involving large datasets and policy rules. Required technical skills include proficiency in Python, Scala, or R for large-scale data analysis, experience with relational databases, and expertise in numerical optimization techniques. You will collaborate cross-functionally to integrate these engines into existing software systems and workflows.

Skills

Machine Learning Python Relational Databases AWS Scala R Distributed Computing Time-series Models Simulation Models Data Science Cloud Computing

What you'll do

Translate ambiguous business challenges into structured mathematical problems.
Design and implement linear, mixed-integer, non-linear, and heuristic optimization models.
Develop, test, and deploy production-grade optimization algorithms and simulation models using Python.
Build machine learning models through all phases of development including training, evaluation, and validation.
Integrate optimization engines into existing software systems and workflows in partnership with engineering teams.
Optimize customer experience funnels and risk policies to drive strategic business value.
Establish closed-loop experimental frameworks to align predictive backtesting with live operational outcomes.

What we're looking for

Bachelor's degree plus 6 years of experience in data analytics, Master's plus 4 years, or PhD plus 1 year.
At least 2 years of experience with open source programming languages for large scale data analysis.
At least 2 years of experience with machine learning.
At least 2 years of experience with relational databases.
PhD in a STEM field (Science, Engineering, Operations Research, or Mathematics) plus 2 years of experience in data analytics (preferred).
At least 1 year of experience working with AWS (preferred).
At least 4 years of experience in Python, Scala, or R for large scale data analysis (preferred).
At least 4 years of experience with machine learning (preferred).
Experience using numerical optimization, linear/non-linear/integer programming techniques, and time-series models (preferred).

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