Senior Associate Data Scientist, Recommendation & Personalization Systems

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $135,600–$154,800 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $145k

$124k most similar roles pay here $240k

This role pays less than 78% of similar roles. Most pay $157,945–$228,987 — the shaded band above. At the midpoint, this role pays about $145k versus about $193k 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 878 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 872 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Recommendation & Personalization Systems

Role Posting Log in to save

Senior Associate, Data Scientist - Recommendation & Personalization Systems joins an elite Applied AI team within AI Foundations to pioneer next-generation personalized customer experiences for web and mobile applications. Working at the intersection of deep research and real-world impact, you will architect and deploy high-scale machine learning models, including those utilizing Reinforcement Learning, Transformer-based architectures, and Causal Inference. You will partner with cross-functional teams to build recommendation engines by managing the full lifecycle of model development from design through training, evaluation, and implementation. To uncover insights within massive volumes of numeric and textual data, you will utilize a technical stack including Python, Conda, AWS, H2O, Spark, SQL, Scala, and R. This role focuses on solving complex problems in recommender systems to provide personalized financial experiences for customers across billions of interactions.

What does a Data Scientist earn in Virginia?

Median $145200 from 77 postings across 6 companies.

See salary data

Skills

Machine Learning Python AWS Spark SQL H2O Conda Scala R Reinforcement Learning Causal Inference Recommender Systems Big Data Foundation Models

What you'll do

Architect and deploy high-scale personalized recommendation engines for web and mobile applications.
Develop machine learning models through all phases including design, training, evaluation, validation, and implementation.
Analyze large volumes of numeric and textual data using Python, Spark, and AWS to uncover hidden insights.
Conduct original research into Foundation Models, Reinforcement Learning, Causal Inference, and Transformer-based architectures.
Translate complex technical findings into tangible business goals for cross-functional stakeholders.
Manage the full lifecycle of 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 2 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration.
Experience working with AWS (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).
A Master's degree or PhD in a STEM field (preferred).

Save