As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records
Job Summary
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Matching Summary
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
Salary
Base: $147,100 - $184,600; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
Python
AWS
Spark
machine learning models
data sourcing
model development
model scoring
Nice-to-have
innovative
creative
statistically-minded
interpersonal skills
LLM fine tuning
RAG
Key Requirements
Bachelor's Degree plus 5 years of experience
Master's Degree plus 3 years of experience
PhD plus 0 years of experience
Master’s Degree in STEM plus 3 years of experience
PhD in STEM
At least 2 years’ experience in AML modeling
At least 1 year of experience developing GenAI/LLMs
At least 1 year of experience with AWS
At least 3 years’ experience in Python and SQL
At least 3 years’ experience with machine learning