Senior Data Scientist, Fraud & Authentication

Capital One; New York (NY); On-site; USD 176,000 - 201,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the US Card Fraud Authentication Data Science team. You will design ML solutions using Python, AWS, Spark, H2O, and SQL to enhance authentication decisions on billions of records.

You will build models across all development stages, translate analytics into business insights, and help shape the technical vision for fraud workflows in large-scale environments. Strong communication is essential.

Qualifications

• Bachelor's degree with 5+ years analytics experience or Master's with 3+ years.
• PhD or MBA with quantitative focus acceptable.
• Experience building ML solutions and evaluating models.

Responsibilities

• Dive into fraud landscapes to identify ML opportunities and prototype solutions.
• Leverage Spark and AWS to uncover patterns and drive fraud-prevention strategies.
• Collaborate with stakeholders, data scientists, engineers and product managers.
• Build models through design, training, evaluation, validation and implementation.
• Explain the rationale behind solutions to influence business decisions.

Skills

Python

AWS

Spark

H2O

SQL

Machine learning

Communication

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Python

AWS

Spark

SQL

H2O

Job description

Capital One is seeking a Data Scientist to join the US Card Fraud Authentication Data Science team. You will design ML solutions using Python, AWS, Spark, H2O, and SQL to enhance authentication decisions on billions of records.

You will build models across all development stages, translate analytics into business insights, and help shape the technical vision for fraud workflows in large-scale environments. Strong communication is essential.