Senior Data Scientist, Fraud & Authentication

Capital One; New York (NY); On-site; USD 177,000 - 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 leverage Python, AWS, Spark, and SQL to analyze billions of records and develop scalable ML solutions for authentication workflows.

The role involves designing ML models, partnering with cross-functional teams, and communicating the strategic value of technical work to drive business outcomes. NY location; competitive salary and benefits.

Qualifications

• Bachelor’s or higher in a quantitative field with data analytics experience.
• Master’s or MBA with quantitative focus plus analytics experience.
• PhD in quantitative field is acceptable.

Responsibilities

• Dive into ambiguous fraud landscapes to identify ML opportunities and prototype solutions.
• Harness Spark, AWS and big data to uncover patterns for fraud prevention.
• Partner with business, data science, software and product teams to deliver customer-loved products.
• Build ML models through design, training, evaluation, validation, and implementation.
• Explain the rationale behind solutions to influence stakeholders and drive business goals.

Skills

Python

Spark

SQL

R

AWS

Machine learning

Statistics

Education

Bachelor's degree in a quantitative field

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

PhD in a quantitative field

Tools

H2O

Job description

Capital One is seeking a Data Scientist to join the US Card Fraud Authentication Data Science team. You will leverage Python, AWS, Spark, and SQL to analyze billions of records and develop scalable ML solutions for authentication workflows.

The role involves designing ML models, partnering with cross-functional teams, and communicating the strategic value of technical work to drive business outcomes. NY location; competitive salary and benefits.