Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

Capital One Financial

Quick summary

Work type
On-site
Location
Anytown, IL
Salary
$147,100–$167,900 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $158k
$133k most similar roles pay here $235k

This role pays less than 69% of similar roles. Most pay $145,462–$212,043 — the shaded band above. At the midpoint, this role pays about $158k versus about $179k 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 716 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 709 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

Role Posting Log in to save

The Principal Associate of Data Science role within the Global Payments Network's Data Solutions and Modeling team involves leading the development of advanced machine learning and AI solutions to address critical business challenges such as fraud prevention, risk management, merchant acceptance, and intelligence. This position requires a leader who is innovative and creative in designing sophisticated AI workflows and autonomous agents using large language models and vector databases. Day-to-day responsibilities include building scalable data-driven tools that enhance the efficiency and effectiveness of our payment network operations on a global scale. The ideal candidate will have hands-on experience with LLMs, embedding models, and vector databases, along with expertise in implementing complex AI systems to solve real-world business problems.

Skills

Large Language Models Embedding Models Vector Databases AI Workflows Autonomous AI Agents

What you'll do

  • Design and implement advanced machine learning models to support fraud detection and risk management.
  • Develop innovative AI tools to enhance merchant acceptance processes in the Global Payment Network.
  • Create autonomous AI agents to automate monitoring and intelligence tasks for merchants.
  • Utilize large language models and vector databases to improve data analysis capabilities.
  • Collaborate on building scalable AI workflows that integrate with existing payment systems.

What we're looking for

  • Extensive experience with Large Language Models (LLMs) and embedding models.
  • Proficient in designing and implementing AI workflows and autonomous AI agents.
  • Strong technical skills in machine learning and artificial intelligence.
  • Experience in developing solutions for fraud/risk, merchant acceptance, and monitoring.
  • Ability to lead and innovate in the field of data science and AI.

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