Manager, Data Scientist - Bureau Data Strategy

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$197,300–$225,100 / 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 $183k
This role $211k
$132k most similar roles pay here $235k

This role pays more than 75% of similar roles. Most pay $153,825–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $183k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist - Bureau Data Strategy

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The Manager, Data Scientist role at the Bureau Data Strategy team within US Card at Capital One involves leading a team that transforms raw credit bureau data into one of the most critical datasets used in underwriting decisions. Day-to-day responsibilities include generating insights from complex data sets and implementing machine learning models to enhance decision-making processes. Ideal candidates possess extensive experience with Python, Scala, R, or SQL for large-scale analysis, along with proficiency in Spark or PySpark and managing production repositories on GitHub. This role requires a deep understanding of big data challenges and the ability to drive technical solutions that address significant business problems within a highly regulated financial environment.

Skills

Python Scala R SQL machine learning GitHub Apache Spark PySpark

What you'll do

  • Lead the generation and enhancement of insights from raw credit bureau data.
  • Develop strategies to extract maximum value from Bureau Data for underwriting.
  • Shape future practices in using credit bureau data within Capital One’s framework.
  • Manage production repositories on GitHub for efficient code versioning and collaboration.
  • Utilize Python, Scala, R, or SQL for large-scale data analysis tasks.
  • Apply machine learning techniques to improve the accuracy of underwriting decisions.

What we're looking for

  • At least 4 years of experience in Python, Scala, R, or SQL for large-scale data analysis.
  • At least 4 years of experience with machine learning techniques and algorithms.
  • Strong technical skills in handling big data and extracting valuable insights.
  • Experience managing production repositories on GitHub and working with Spark/PySpark.
  • Proven leadership and customer-first mindset in a data-driven environment.

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