Data Science Manager: ML Strategy & Insights

ITSMF; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One seeks a Manager, Data Scientist for Card Mainstreet to lead data-driven product development using a broad tech stack and multiple ML techniques. You will collaborate with data scientists, software engineers and product managers to translate insights into customer-focused solutions.

The role emphasizes building scalable ML models, working with big data, and communicating business impact to stakeholders while guiding a team of data scientists.

Qualifications

• Bachelor's degree plus 6 years analytics experience
• Master's degree (quantitative) or MBA with quantitative concentration plus 4 years analytics
• PhD in quantitative field plus 1 year analytics experience
• 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 cross-functional teams to deliver a product customers love
• Leverage Python, Conda, AWS, H2O, Spark, and more to reveal insights from large data sets
• Build machine learning models through all development phases from design to implementation
• Translate complex work into tangible business goals

Skills

Python

Machine learning

Relational databases

Open source programming languages

Communication

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA with quantitative concentration

PhD in a quantitative field

Tools

AWS

Spark

H2O

Conda

SQL

Job description

Capital One seeks a Manager, Data Scientist for Card Mainstreet to lead data-driven product development using a broad tech stack and multiple ML techniques. You will collaborate with data scientists, software engineers and product managers to translate insights into customer-focused solutions.

The role emphasizes building scalable ML models, working with big data, and communicating business impact to stakeholders while guiding a team of data scientists.