Director, Data Science

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: —
Salary: $269,100–$307,200 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $242k

This role $288k

$177k most similar roles pay here $321k

This role pays more than 83% of similar roles. Most pay $205,000–$278,000 — the shaded band above. At the midpoint, this role pays about $288k versus about $242k 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 1743 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 947 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Director, Data Science

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Director, Data Science joins a new science team focused on building a portfolio of agentic AI products, including autonomous coding agents and context engineering, to transform internal engineering organizations and business lines. The role involves designing AI/ML models, conducting A/B tests, modeling telemetry, and translating complex technical results into strategic guidance for executive leadership. You will collaborate with cross-functional teams of data scientists, engineers, and product managers to develop solutions using a technology stack that includes Python, Conda, AWS, H2O, and Spark. The position requires processing large volumes of numeric and textual data to solve problems related to the development lifecycle of agentic models. Key technical competencies include experience with clustering, classification, sentiment analysis, time series, deep learning, and various open-source tools for large-scale data analysis and cloud computing.

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