Senior Associate, Data Science

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $118,040–$182,700 / yr
Employment: Full-time
Posted: 19 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $150k

$107k $225k

below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $139,875–$211,750 — the blue band above. At the midpoint, this role pays about $150k versus about $176k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Data Science

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The Senior Associate, Data Science joins a cross-functional team of data scientists, software engineers, and product managers to deliver high-quality products. In this role, you will build machine learning models through every phase of development, including design, training, evaluation, validation, and implementation. You will be responsible for revealing insights hidden within huge volumes of numeric and textual data and translating complex technical work into tangible business goals. To succeed, you must utilize a broad technology stack including Python, Conda, AWS, H2O, and Spark. The work involves solving technical problems by processing large datasets to drive product improvements. Candidates should possess a quantitative background in fields such as Statistics, Economics, Mathematics, or Computer Science to perform these essential data analytics tasks.

Skills

Python AWS Spark H2O Conda Machine Learning Data Analytics Statistics Operations Research

What you'll do

Extract insights from large volumes of numeric and textual data.
Build machine learning models through all phases of development.
Design, train, evaluate, and validate machine learning models.
Implement machine learning models into production environments.
Use Python, Conda, AWS, H2O, and Spark to develop data solutions.
Translate complex technical work into tangible business goals.

What we're looking for

Must have a bachelor's degree in a quantitative field and 2 years of data analytics experience.
A master's degree or an MBA with a quantitative concentration in a related field is accepted in lieu of the bachelor's requirement.
Must be able to pass a company assessment.
Must live within commuting distance of the McLean, Virginia office.
Experience with Python, Conda, AWS, H2O, and Spark is required.
Must be able to build machine learning models through all phases of development.
Must be able to translate complex technical work into tangible business goals.

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