Senior Director, Data Science & Strategy

Capital One; Deerfield (IL); On-site; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a Data Science Leader to guide a team delivering data-driven decisions at scale. You will partner with data scientists, engineers, and product managers to build customer-focused solutions, leveraging Python, AWS, Spark, and H2O to unlock insights from billions of records.

The ideal candidate combines leadership with hands-on ML experience, strong communication, and a passion for applying state-of-the-art methods to real business problems.

Qualifications

• Bachelor’s Degree plus 10 years of experience in data analytics, or Master’s Degree plus 8 years of experience in data analytics, or PhD plus 5 years of experience in data analytics
• At least 4 years of experience in open source programming languages for large scale data analysis
• At least 4 years of experience with machine learning
• At least 4 years of experience with 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

Relational databases

Machine learning

Leadership

Data modeling

Communication

Education

PhD in STEM

Tools

Conda

H2O

Job description

Capital One is seeking a Data Science Leader to guide a team delivering data-driven decisions at scale. You will partner with data scientists, engineers, and product managers to build customer-focused solutions, leveraging Python, AWS, Spark, and H2O to unlock insights from billions of records.

The ideal candidate combines leadership with hands-on ML experience, strong communication, and a passion for applying state-of-the-art methods to real business problems.