Senior Data Science Leader for ML & Risk Modeling

Capital One; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One seeks a Data Scientist to lead a team delivering models predicting credit risk, account usage, and portfolio financials, leveraging Python, AWS, Spark, and more to unlock insights from billions of records and translate data into business value.

You will guide end-to-end model development, mentor staff, and align with stakeholders, translating complex analytics into strategic decisions that improve customer outcomes and risk management.

Qualifications

• Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics.
• Master's Degree in a quantitative field or MBA with a quantitative concentration plus 5 years of experience performing data analytics.
• PhD in a quantitative field plus 2 years of experience performing data analytics.

Responsibilities

• Partner with a cross-functional team of business analysts, 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.

Skills

Open source languages

Machine learning

Relational databases

Education

Bachelor's Degree in a quantitative field plus 7 years of experience

Master's Degree in a quantitative field or MBA with quantitative concentration plus 5 years of experience

PhD in a quantitative field plus 2 years of experience

Job description

Capital One seeks a Data Scientist to lead a team delivering models predicting credit risk, account usage, and portfolio financials, leveraging Python, AWS, Spark, and more to unlock insights from billions of records and translate data into business value.

You will guide end-to-end model development, mentor staff, and align with stakeholders, translating complex analytics into strategic decisions that improve customer outcomes and risk management.