Senior Associate, Data Scientist - Business Cards & Payments Credit Infrastructure Team

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $135,600–$154,800 / yr
Posted: 79 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $167k

This role $145k

$115k most similar roles pay here $214k

This role pays less than 66% of similar roles. Most pay $135,000–$199,800 — the shaded band above. At the midpoint, this role pays about $145k versus about $167k 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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 791 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Data Scientist - Business Cards & Payments Credit Infrastructure Team

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As a Senior Associate Data Scientist on the Business Cards and Payments Credit Infrastructure Team, you will work closely with the credit card acquisitions valuations model development team to build robust valuation models and tools that support their use. Your day-to-day responsibilities include leveraging Python, Conda, AWS, H2O, Spark, and other technologies to analyze vast amounts of numeric and textual data, revealing critical insights for business decisions. This role requires a strong statistical background, creativity, and technical proficiency in machine learning and SQL. The team focuses on developing advanced analytics and systemized tooling that support the BCP organization's credit programs at scale, addressing complex business challenges with cutting-edge solutions.

Skills

Python AWS H2O Spark SQL Scala R Machine_Learning CI/CD

What you'll do

Develop robust valuations models using Python and other technologies.
Analyze large datasets to uncover insights relevant to credit card acquisitions.
Create advanced analytics tools supporting the use of valuation models.
Implement machine learning techniques to enhance model accuracy and efficiency.
Monitor and maintain systemized tooling for continuous improvement.

What we're looking for

At least 2 years of experience in Python or Scala.
Strong background in machine learning and statistical analysis.
Proficient in SQL for data manipulation and retrieval.
Experience with big data technologies like AWS, Spark, and H2O.
Ability to work on end-to-end development of valuations models.

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