Senior Associate Data Scientist, Bureau Data Strategy

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $178k

$126k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,750–$212,250.

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 2253 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1137 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Bureau Data Strategy

Role Posting Log in to save

The Senior Associate, Data Scientist - Bureau Data Strategy joins the Bureau Data Strategy team to manage and extract value from raw credit bureau data. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver products that shape how credit bureau data is used in underwriting decisions. You will build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. The position requires leveraging a broad technology stack including Python, Conda, AWS, H2O, Spark, Scala, R, and SQL to analyze huge volumes of numeric and textual data. You will translate complex technical work into tangible business goals while solving problems related to generating insights and identifying opportunities within large-scale credit bureau datasets.

What does a Data Scientist earn in Virginia?

Median $162000 from 88 postings across 8 companies.

See salary data

Skills

Python AWS Spark H2O SQL Scala R Conda Machine Learning Big Data Statistical Modeling Data Science Cloud Computing

What you'll do

Extract insights and value from large volumes of raw credit bureau data.
Build machine learning models through all phases of development, including design, training, and validation.
Use Python, AWS, Spark, and H2O to analyze huge volumes of numeric and textual data.
Retrieve, combine, and analyze data from a variety of different sources and structures.
Translate complex technical work into tangible business goals for stakeholders.
Develop data science solutions using open-source tools and cloud computing platforms.
Shape the future of how credit bureau data is used in underwriting decisions.

What we're looking for

Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics.
Master's Degree in a quantitative field or an MBA with a quantitative concentration.
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Experience building machine learning models through all phases of development, from design through implementation.
Ability to retrieve, combine, and analyze data from a variety of sources and structures.
Master’s Degree in a STEM field or a PhD in a STEM field (preferred).
Experience working with AWS (preferred).
At least 2 years’ experience in Python, Scala, or R (preferred).
At least 2 years’ experience with machine learning (preferred).
At least 2 years’ experience with SQL (preferred).

Save