Senior Manager, Data Science, AI Foundations, Specialist Models

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $229,900–$262,400 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $246k

$147k most similar roles pay here $275k

This role pays more than 85% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k 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 692 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 684 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Science, AI Foundations, Specialist Models

Role Posting Log in to save

As a Senior Manager of Data Science on the Entity Resolution Systems team, you will lead the development of advanced machine learning solutions to enhance entity resolution within a large enterprise, impacting multiple business lines. Your daily tasks include collaborating with data scientists, software engineers, and product managers to create cutting-edge entity resolution systems using Python, AWS, Spark, transformers, graph ML, and other modern technologies. You will analyze vast datasets to uncover valuable insights and drive innovation through agentic AI practices. Ideal candidates are innovative, creative, technically proficient, and adept at handling big data challenges. The role requires a PhD in STEM and at least five years of experience with Python, Scala, R, or SQL, along with expertise in AWS and a strong background in statistical analysis.

Skills

Python AWS Spark Transformers Graph ML Agentic AI SQL Scala R

What you'll do

Lead the development of a next-generation entity resolution solution using advanced ML techniques.
Apply cutting-edge technologies like transformers and graph ML to analyze large datasets.
Work with Python, AWS, Spark, and other tools to extract insights from complex data.
Collaborate on building and testing AI models using agentic workflows and modern practices.
Solve real-world business problems by partnering with cross-functional teams.

What we're looking for

At least 5 years of experience in Python, Scala, or R
Strong background in data science and machine learning methodologies
Experience working with AWS technologies and services
Proficiency in SQL and handling large datasets (big data)
PhD in a STEM field preferred
Ability to partner with cross-functional teams to deliver solutions

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