Lead Data Scientist, Model Risk & ML Governance

Capital One; New York (NY); On-site; USD 177,000 - 201,000; Full time

Job summary

Capital One is seeking a Data Scientist to partner with engineers and product managers to identify and quantify model risks across multiple domains. You will work with Python, Conda, AWS, H2O, Spark to uncover insights from billions of records and help drive data-driven decisions.

You will lead data science teams to build and validate models, contributing to governance and the next generation of risk-aware analytics. Strong communication with executives is essential.

Qualifications

• Bachelor's degree in a quantitative field plus 5 years of data analytics experience.
• Master's degree in a quantitative field or MBA with quantitative concentration plus 3 years of data analytics experience.
• PhD in a quantitative field.

Responsibilities

• Partner with cross-functional team to identify and quantify risks associated with models.
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large numeric/text data.
• Lead data science teams building ML models to challenge production models and contribute to governance.
• Present identified model risks and potential business impact to executives.

Skills

Python

Scala

R

Machine learning

Statistics

Data analytics

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

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Data Scientist to partner with engineers and product managers to identify and quantify model risks across multiple domains. You will work with Python, Conda, AWS, H2O, Spark to uncover insights from billions of records and help drive data-driven decisions.

You will lead data science teams to build and validate models, contributing to governance and the next generation of risk-aware analytics. Strong communication with executives is essential.