Principal Associate Data Scientist, Recommendation & Personalization Systems

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $161,800–$184,600 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k

This role $173k

$133k most similar roles pay here $252k

This role pays less than 60% of similar roles. Most pay $157,050–$240,437 — the shaded band above. At the midpoint, this role pays about $173k versus about $199k for comparable roles.

Based on 239 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.

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View all roles at Capital One Financial

At a glance

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

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Principal 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. This role involves architecting and deploying advanced recommendation engines by leveraging high-scale machine learning models, original research into homegrown Foundation Models, Reinforcement Learning techniques, Causal Inference, and Transformer-based architectures. The successful candidate will partner with cross-functional teams to build models through all phases of development, including design, training, evaluation, validation, and implementation. To uncover insights within massive volumes of numeric and textual data, the role utilizes a technical stack including Python, Conda, AWS, H2O, Spark, SQL, Scala, and R. The work focuses on solving complex problems in personalized recommendation systems while managing billions of interactions to improve customer outcomes through sophisticated data-driven decision-making.

What does a Data Scientist earn in Virginia?

Median $145200 from 77 postings across 6 companies.

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Skills

Python AWS Spark H2O SQL Scala R Conda Machine Learning 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 5 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
A PhD in a quantitative field.
Master’s Degree in a STEM field plus 3 years of experience in data analytics (preferred).
PhD in a STEM field (preferred).
At least 3 years of experience with Python, Scala, or R (preferred).
At least 3 years of experience with machine learning (preferred).
At least 3 years of experience with SQL (preferred).
At least 1 year of experience working with AWS (preferred).

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