Manager, Data Science

Capital One Financial

Hybrid

Quick summary

Work type: Hybrid
Location: McLean, VA
Salary: $170,872–$267,900 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $219k

$112k most similar roles pay here $285k

This role pays more than 79% of similar roles. Most pay $129,659–$212,025 — the shaded band above. At the midpoint, this role pays about $219k versus about $171k 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 677 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 671 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Science

Role Posting Log in to save

The Manager, Data Science role at Capital One Services in McLean, Virginia involves leading a cross-functional team to develop data-driven solutions that enhance customer experiences. This senior position requires translating complex analytical work into actionable business strategies and collaborating with data scientists, software engineers, and product managers to deliver innovative products. Ideal candidates will have extensive experience in leveraging open-source programming languages for large-scale data analysis, working with machine learning algorithms, and utilizing relational databases. A bachelor’s degree in a quantitative field plus six years of relevant experience or an advanced degree with fewer years of experience is required. This role demands expertise in statistical modeling, predictive analytics, and the ability to work within a fast-paced financial services environment focused on scalable solutions.

Skills

Python SQL R MachineLearning DataAnalytics RelationalDatabases TelecommutingPolicy CI/CD

What you'll do

Lead a cross-functional team to deliver customer-focused data science products.
Translate complex data analysis into actionable business strategies and goals.
Utilize open-source programming languages for large-scale data analysis tasks.
Apply machine learning techniques to solve business problems and improve processes.
Work with relational databases to extract, analyze, and interpret data effectively.

What we're looking for

Bachelor's degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related quantitative field and 6 years of data analytics experience.
Master’s degree in a relevant field and 4 years of data analytics experience, or PhD and 1 year of experience.
Experience leveraging open-source programming languages for large-scale data analysis.
Proficiency in machine learning techniques and applications.
Utilization of relational databases for complex data management tasks.
Ability to translate technical work into tangible business goals.

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