Senior Associate Data Scientist, Corporate Strategy

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 127 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $164k

$106k $217k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $135,000–$193,125.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Corporate Strategy

Role Posting Log in to save

The Senior Associate, Data Scientist - Corporate Strategy joins the Integrated Data Engineering, Analysis, and Science team to support high-impact strategic decisions for senior leadership. In this role, you will partner with cross-functional teams to build machine learning models through all phases of development, including design, training, evaluation, and implementation. You will analyze huge volumes of numeric and textual data to create insights on consumer behavior, market conditions, and peer performance. The position requires proficiency with a broad technology stack including Python, Conda, AWS, H2O, Spark, and SQL. You must possess skills in clustering, classification, sentiment analysis, time series, and deep learning. This work addresses critical business problems by formulating enduring growth and value enhancement strategies within the financial services industry.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

Skills

Python AWS Spark H2O SQL Scala R Conda Machine Learning Deep Learning Statistical Modeling Time Series Sentiment Analysis Clustering Classification Big Data Data Engineering

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, and implementation.
Leverage Python, AWS, Spark, and H2O to extract insights from large volumes of numeric and textual data.
Analyze customer behavior, market conditions, and peer performance using statistical modeling.
Translate complex data science findings into tangible business goals for senior leadership.
Retrieve and combine data from a variety of sources and structures to support strategic projects.
Partner with software engineers and product managers to deliver data-driven products.
Research and evaluate emerging technologies and state-of-the-art methods for application in business.
Drive the strategic agenda by building trusted relationships and influencing executive decision-making.

What we're looking for

Must have a Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration.
Must have experience building, validating, and backtesting machine learning models.
Must have experience retrieving, combining, and analyzing data from various sources and structures.
Must be able to translate complex technical work into tangible business goals.
Must be able to partner with cross-functional teams to deliver products and drive strategic agendas.
Master’s degree in a STEM field or a PhD in a STEM field (preferred).
At least 2 years of experience in Python, Scala, or R (preferred).
At least 2 years of experience with machine learning (preferred).
At least 2 years of experience with SQL (preferred).

Save