Principal Associate Data Scientist, Data Solutions and Modeling

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Anytown, IL
Salary: $147,100–$167,900 / yr
Posted: 80 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k

This role $158k

$136k most similar roles pay here $247k

This role pays less than 77% of similar roles. Most pay $159,125–$236,375 — the shaded band above. At the midpoint, this role pays about $158k versus about $198k 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 · Principal Associate Data Scientist, Data Solutions and Modeling

Role Posting Log in to save

As a Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling, you will join the Data Solutions and Model team to build machine learning models and AI agents supporting fraud, risk, merchant acceptance, and monitoring within the global payment network. You will collaborate with cross-functional teams of engineers and product managers to develop solutions for large volumes of numeric and textual data. The role involves managing the full lifecycle of model development, including design, training, evaluation, validation, and implementation. To succeed, you will utilize a technical stack featuring Python, Conda, AWS, H2O, Spark, SQL, and Scala. You may also leverage Large Language Models, embedding models, and vector databases to create autonomous AI agents. This role addresses complex problems in merchant intelligence and payment security using advanced analytics and cloud computing platforms.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

Skills

Python Machine Learning AWS Spark H2O SQL LLMs Vector Databases Conda Scala R AI Agents Cloud Computing Data Science

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Use Python, Spark, H2O, and AWS to extract insights from large volumes of numeric and textual data.
Develop AI agents and tools to support fraud risk, merchant acceptance, and merchant intelligence.
Design and implement AI workflows using Large Language Models (LLMs) and vector databases.
Translate complex technical findings into tangible business goals for stakeholders.
Research and evaluate emerging technologies to improve existing data science solutions.
Solve large, undefined problems by identifying and improving the status quo of current processes.

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.
At least 3 years of experience with Python, Scala, or R.
At least 3 years of experience with machine learning.
At least 3 years of experience with SQL.
Experience with Large Language Models (LLMs), including embedding models and vector databases.
Experience designing and implementing AI workflows and autonomous AI agents.

Save