Manager, Data Scientist, Bureau Data Strategy

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$197,300–$225,100 / yr
Posted
93 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $211k
$104k most similar roles pay here $238k

This role pays more than 80% of similar roles. Most pay $133,328–$205,961 — the shaded band above. At the midpoint, this role pays about $211k versus about $170k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 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

Manager, Data Scientist - Bureau Data Strategy joins the Bureau Data Strategy team to transform raw credit bureau data into highly-used datasets for underwriting decisions. In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. You will be responsible for extracting value from large volumes of numeric and textual data to shape the future of how credit bureau information is utilized in underwriting processes. The role requires proficiency with a technical stack including Python, Conda, AWS, H2O, Spark, and relational databases. Candidates must possess skills in open-source programming languages and cloud computing platforms to analyze complex data structures and translate technical findings into tangible business goals for the organization.

What you'll do

  • Extract value and insights from raw credit bureau data to inform underwriting decisions.
  • Develop machine learning models through all phases of design, training, evaluation, and implementation.
  • Analyze large volumes of numeric and textual data using Python, Spark, and H2O.
  • Manage and process big data from diverse sources and structures.
  • Translate complex technical findings into tangible business goals for stakeholders.
  • Develop data science solutions using open-source tools and cloud computing platforms.

What we're looking for

  • A Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics.
  • A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
  • A PhD in a quantitative field plus 1 year of experience performing data analytics.
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis.
  • At least 1 year of experience working with machine learning.
  • At least 1 year of experience utilizing relational databases.
  • 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.

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