Senior Manager, Data Science — Model Risk Leader

Capital One Group; Richmond (VA); In loco; USD 209.000 - 239.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a Senior Manager in Data Science to lead model risk analytics and ML initiatives. You will partner with data scientists, engineers, and product managers to deliver customer-focused solutions using Python, AWS, Spark, and H2O. The role requires leadership, strong governance, and deep expertise in statistics and ML methods.

You will build models end-to-end, translate results into business impact, and mentor teams to adopt best practices in data analytics and risk modeling.

Competenze

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date
• 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 the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Conoscenze

Data analytics

Machine learning

Relational databases

Open source languages

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

Open to 2+ years experience with large-scale data analysis

Strumenti

Python

Conda

AWS

H2O

Spark

Descrizione del lavoro

Capital One is seeking a Senior Manager in Data Science to lead model risk analytics and ML initiatives. You will partner with data scientists, engineers, and product managers to deliver customer-focused solutions using Python, AWS, Spark, and H2O. The role requires leadership, strong governance, and deep expertise in statistics and ML methods.

You will build models end-to-end, translate results into business impact, and mentor teams to adopt best practices in data analytics and risk modeling.