Senior Data Science Manager, Model Risk

ITSMF; McLean (VA); In loco; USD 230.000 - 262.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a Senior Manager, Data Science - Model Risk in McLean, VA to lead a team defending models against failures and delivering data-driven decisions across Risk Management. You will manage a cross-functional group of data scientists, software engineers, and product managers, guiding ML model development from design through deployment while aligning with business goals.

The role requires deep expertise in statistics, ML, and relational databases, with a track record of leading

Competenze

• Bachelor's degree in a quantitative field plus 7 years of data analytics experience
• Master's degree in a quantitative field or MBA with quantitative concentration plus 5 years of data analytics experience
• PhD in a quantitative field plus 2 years of data analytics experience
• At least 2 years of experience leveraging open source programming languages for large scale data analysis
• At least 2 years of experience working with machine learning
• At least 2 years of experience utilizing relational databases

Mansioni

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights in large data volumes
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation
• Translate complex work into tangible business goals

Conoscenze

Python

Machine Learning

Relational Databases

Open Source Languages

Statistics

Formazione

Bachelor's Degree in a quantitative field

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

PhD in a quantitative field

Strumenti

AWS

Spark

H2O

Conda

Descrizione del lavoro

Capital One is seeking a Senior Manager, Data Science - Model Risk in McLean, VA to lead a team defending models against failures and delivering data-driven decisions across Risk Management. You will manage a cross-functional group of data scientists, software engineers, and product managers, guiding ML model development from design through deployment while aligning with business goals.

The role requires deep expertise in statistics, ML, and relational databases, with a track record of leading