Director, Data Scientist

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · New York, NY
Salary
$269,100–$307,200 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $288k
$86k most similar roles pay here $331k

This role pays more than 98% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $288k versus about $162k 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 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Director, Data Scientist

As the Director of Data Science on the Generative AI Systems (Genesis) team at Card Data Science, you will lead a team of specialists in natural language processing, speech recognition, and computer vision to develop cutting-edge generative AI solutions. Your daily responsibilities include leveraging Python, Kubernetes, AWS, H2O, Spark, and other technologies to extract insights from large datasets, driving efficiency for internal teams and enhancing customer experiences through innovative applications. Ideal candidates are customer-focused leaders with a deep technical background in quantitative fields such as statistics or computer science, at least 5 years of experience managing people, and extensive hands-on expertise in Python, Scala, R, machine learning, and relational databases. This role involves significant contributions to the broader AI/ML community through research and publication.

What you'll do

  • Lead a team of specialists in NLP, speech, and computer vision to develop generative AI solutions.
  • Experiment with emerging technologies in generative AI to enhance internal and customer-facing applications.
  • Deliver software implementing advanced AI/ML technologies for business efficiency and data analytics.
  • Contribute research findings to major NLP and AI/ML conferences to advance the field.
  • Manage a team of data scientists, providing mentorship and guidance in technical projects.

What we're looking for

  • PhD in a quantitative field plus 4 years of experience in data analytics.
  • At least 5 years of experience with Python, Scala, or R for large-scale data analysis.
  • At least 5 years of hands-on experience working with machine learning.
  • At least 3 years of experience managing people and leading teams.
  • Strong background in utilizing relational databases and open-source programming languages.

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