GenAI Risk & Data Science Manager (Onsite Chicago)

Capital One; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Benefits offered by this job

Performance-based incentive

Comprehensive health benefits

Job summary

Capital One is seeking a Manager, Data Scientist in Chicago, IL to partner with cross-functional teams to identify, quantify, and govern model risks including GenAI-related risks. You will build, validate, and challenge models in production and contribute to governance across data science, software engineering, and product teams.

The ideal candidate has 6+ years analytics experience or a Master’s with relevant experience, strong open-source skills in Python/Scala/R, and hands-on ML with vector

Qualifications

• Bachelor’s degree in a quantitative field plus 6 years of experience performing data analytics, or Master’s degree in a quantitative field with the required experience.
• At least 1 year of experience leveraging open source programming languages for large-scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational or vector databases.

Responsibilities

• Collaborate with cross-functional teams to identify and quantify model risks.
• Apply a broad technology stack to uncover insights from large multi-modal data using frameworks and tools such as PyTorch, Hugging Face, LangChain, and vector databases, plus LLMOps and observability platforms.
• Develop machine learning models that challenge existing champion models in production and contribute to governance for the next generation of models.
• Validate diverse model types across multiple business domains and present risk impacts to executives.

Skills

Data analytics

Machine learning

Open-source languages

Relational databases

Vector databases

Education

Bachelor’s degree

Master’s degree

Tools

PyTorch

Hugging Face

LangChain

Vector databases

LLMOps

AWS

Python

Scala

R

Job description

Capital One is seeking a Manager, Data Scientist in Chicago, IL to partner with cross-functional teams to identify, quantify, and govern model risks including GenAI-related risks. You will build, validate, and challenge models in production and contribute to governance across data science, software engineering, and product teams.

The ideal candidate has 6+ years analytics experience or a Master’s with relevant experience, strong open-source skills in Python/Scala/R, and hands-on ML with vector