Senior Data Science Manager, Model Risk & ML Strategy

ITSMF; Richmond (VA); In loco; USD 209.000 - 239.000; Tempo pieno

Descrizione del lavoro

Capital One in Richmond, VA seeks a Senior Manager for Data Science - Model Risk. Lead a cross-functional team to build and validate models, using Python, AWS, H2O and Spark to extract insights from billions of records. Drive business outcomes by translating complex analytics into actionable risk decisions.

The role emphasizes leadership, talent development, customer focus, and staying at the forefront of ML techniques and state-of-the-art methods. Competitive salary and benefits apply.

Competenze

• Bachelor's/Master's/PhD in a quantitative field with required analytics experience.
• Minimum years of data analytics experience as specified for each degree path.
• Experience with open source programming languages for large-scale data analysis.
• Experience with machine learning and relational databases.

Mansioni

• Partner with cross-functional teams to deliver data products that customers love.
• Leverage Python, AWS, H2O, Spark to reveal insights from large data volumes.
• Build ML models from design through evaluation, validation and implementation.
• Translate complex work into tangible business goals.

Conoscenze

Python

Conda

AWS

H2O

Spark

Statistical modeling

Time series

Classification

Clustering

Sentiment analysis

ROC curve

Confusion matrix

Formazione

Bachelor's degree in a quantitative field plus 7 years analytics experience

Master's degree in a quantitative field or MBA with quantitative concentration plus 5 years analytics

PhD in a quantitative field plus 2 years analytics

Strumenti

AWS

Relational databases

Spark

H2O

Descrizione del lavoro

Capital One in Richmond, VA seeks a Senior Manager for Data Science - Model Risk. Lead a cross-functional team to build and validate models, using Python, AWS, H2O and Spark to extract insights from billions of records. Drive business outcomes by translating complex analytics into actionable risk decisions.

The role emphasizes leadership, talent development, customer focus, and staying at the forefront of ML techniques and state-of-the-art methods. Competitive salary and benefits apply.