Senior Data Scientist, Emerging ML & Foundation Models

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the Emerging ML team. Work across the data science lifecycle, building models from concept to production that scale to billions of transactions and affect marketing, servicing and fraud domains. You will partner with product teams, and write Python/Scala to analyze data using Spark and AWS.

The role emphasizes curiosity, technical strength in open source tools, cloud platforms, and a focus on data-driven decision making in a banking context.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years analytics experience.
• Master's degree (or MBA with quantitative concentration) plus 4 years analytics.
• PhD in a quantitative field plus 1 year analytics experience.

Responsibilities

• Build ML models through all development phases and operationalize in production.
• Collaborate with business/product teams to improve customer experiences and outcomes.
• Write software (Python/Scala) to collect, explore, and analyze large-scale data using Spark and AWS.

Skills

Open source languages

Machine learning

Relational databases

Python/Scala/R

Education

Bachelors in quantitative field + 6 years analytics exp

Masters in quantitative field or MBA with quantitative concentration + 4 yrs analytics

PhD in quantitative field + 1 yr analytics

Tools

Spark

AWS

SQL

Job description

Capital One is seeking a Data Scientist to join the Emerging ML team. Work across the data science lifecycle, building models from concept to production that scale to billions of transactions and affect marketing, servicing and fraud domains. You will partner with product teams, and write Python/Scala to analyze data using Spark and AWS.

The role emphasizes curiosity, technical strength in open source tools, cloud platforms, and a focus on data-driven decision making in a banking context.