Director, Data Scientist, Business Cards & Payments

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$269,100–$307,200 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $288k
$130k most similar roles pay here $326k

This role pays more than 95% of similar roles. Most pay $157,500–$234,000 — the shaded band above. At the midpoint, this role pays about $288k versus about $196k 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 719 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 712 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Director, Data Scientist, Business Cards & Payments

As a Director of Data Science in the Business Cards & Payments team at Capital One, you will lead the development of advanced machine learning solutions to enhance customer lifecycle predictions and decision-making processes. This role involves collaborating closely with business and technology partners to translate data insights into strategic outcomes that benefit both the company and its customers. You will oversee a team of data scientists, manage large-scale data analysis using Python, Scala, or R, and work with relational databases and machine learning frameworks. The ideal candidate has extensive experience in quantitative fields such as statistics, economics, or computer science, along with strong leadership skills and at least 5 years of hands-on experience in managing people and implementing complex data analytics projects.

What you'll do

  • Lead the development of advanced ML solutions to enhance customer lifecycle predictions.
  • Design and implement robust data infrastructure for large-scale data analysis.
  • Utilize Python, Scala, or R to analyze complex datasets and extract meaningful insights.
  • Manage a team of data scientists and analysts to drive business strategy execution.
  • Collaborate with technology partners to translate data capabilities into strategic outcomes.
  • Develop machine learning models that improve decision-making across the customer lifecycle.

What we're looking for

  • Bachelor's degree in a quantitative field plus 9 years of data analytics experience.
  • Master's degree or MBA with a quantitative concentration plus 7 years of data analytics experience.
  • PhD in a quantitative "STEM" field plus 4 years of data analytics experience.
  • At least 5 years of experience using Python, Scala, or R for large-scale data analysis.
  • At least 5 years of hands-on experience with machine learning techniques.
  • At least 3 years of experience managing people and leading teams.

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