Senior Director, Data Science & ML Leadership

Capital One; Cambridge (MA); On-site; USD 315,000 - 359,000; Full time

Job summary

Capital One is seeking a Senior Data Scientist to join the US Card Data Science organization in Cambridge, MA. You’ll lead data-driven initiatives across marketing, acquisitions, underwriting, and fraud prevention, using Python, AWS, and open-source tools to transform complex insights into business value for millions of cardholders.

You will collaborate with data scientists, software engineers, and product managers, building, validating, and deploying models that drive strategic decisions and

Qualifications

• Bachelor's degree in a quantitative field plus 11 years analytics experience.
• Master's degree in quantitative field or MBA with a quantitative concentration plus 9 years analytics.
• PhD in a quantitative field plus 6 years analytics.
• At least 6 years of experience leveraging open source programming languages for large scale data analysis.
• At least 6 years of experience working with machine learning.
• At least 6 years of experience utilizing relational databases.

Responsibilities

• 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.

Skills

Python

AWS

Spark

H2O

SQL

Machine learning

Team leadership

Education

Bachelor's degree + 11 years analytics

Master's degree in quantitative field or MBA with quantitative concentration + 9 years analytics

PhD in quantitative field + 6 years analytics

Tools

Conda

AWS

Python

Spark

H2O

Job description

Capital One is seeking a Senior Data Scientist to join the US Card Data Science organization in Cambridge, MA. You’ll lead data-driven initiatives across marketing, acquisitions, underwriting, and fraud prevention, using Python, AWS, and open-source tools to transform complex insights into business value for millions of cardholders.

You will collaborate with data scientists, software engineers, and product managers, building, validating, and deploying models that drive strategic decisions and