Manager, Data Scientist - Partnerships Acquisitions

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VANew York, NYChicago, IL
Salary
$179,400–$204,700 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $192k
$132k most similar roles pay here $235k

This role pays more than 57% of similar roles. Most pay $151,500–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $181k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist - Partnerships Acquisitions

The Manager of Data Scientist role within the Partnerships Acquisitions team involves leading a workstream focused on developing advanced machine learning models to enhance credit decisioning processes. This senior-level position requires expertise in creative problem-solving and technical leadership to build robust infrastructure and utilize alternative data sources for accurate customer valuation, product optimization, and critical business decisions such as card application approval. The ideal candidate holds a PhD in STEM along with three years of experience in data science or machine learning, demonstrating proficiency in statistical analysis, model deployment, and cutting-edge technologies. This role demands a deep understanding of complex datasets and the ability to drive innovation within a high-stakes financial environment.

What you'll do

  • Lead the development of advanced machine learning models for credit decisioning.
  • Utilize alternative data sources to enhance model accuracy and efficiency.
  • Optimize existing machine learning infrastructure for better performance.
  • Conduct statistical analysis to inform critical business decisions.
  • Mentor team members in cutting-edge modeling techniques and best practices.

What we're looking for

  • PhD in STEM field plus 3 years of data science/machine learning experience.
  • Expertise in building machine learning models for credit decisioning.
  • Leadership skills to manage a workstream and lead technical projects.
  • Proficiency in advanced modeling techniques and alternative data sources.
  • Strong statistical background for enhancing decision accuracy and efficiency.

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