Data Science Manager: ML Leadership & Impact

Capital One; Deerfield (IL); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the Data Solutions and Model team, handling billions of records to unlock big opportunities using Python, AWS, and Spark.

You will partner with data scientists, engineers, and product managers to deliver a product customers love and translate complex analytics into concrete business goals, with strong collaboration and career growth in a data-driven environment.

Qualifications

• A Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics.
• A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
• A PhD in a quantitative field plus 1 year of experience performing data analytics.
• At least 1 year of experience leveraging open source programming languages for large scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year 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

Conda

AWS

H2O

Spark

Relational databases

Machine learning

Open‑source languages

Education

Bachelor's Degree + 6 years analytics

Master's Degree or MBA with quantitative concentration + 4 years analytics

PhD + 1 year analytics

Tools

SQL

Job description

Capital One is seeking a Data Scientist to join the Data Solutions and Model team, handling billions of records to unlock big opportunities using Python, AWS, and Spark.

You will partner with data scientists, engineers, and product managers to deliver a product customers love and translate complex analytics into concrete business goals, with strong collaboration and career growth in a data-driven environment.