Data Science Manager — ML for Financial Wellness

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

Benefits offered by this job

Sponsoring employment authorization

Health and other benefits

Job summary

Capital One is seeking a Data Scientist in McLean, VA, to join the Resiliency Intelligence team. You will build ML models using Python, XGBoost, scikit-learn, and statsmodels, handling billions of records to drive personalized solutions that help customers regain financial health.

You will collaborate with data scientists, software engineers, and product managers, translating complex analyses into actionable business outcomes and contributing to scalable ML pipelines across production and

Qualifications

• Bachelor’s degree in a quantitative field plus 6 years of analytics experience
• Master’s degree in quantitative field or MBA with quantitative concentration plus 4 years of analytics experience
• PhD plus 1 year of analytics experience
• At least 1 year of experience with 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 team to deliver a product that customers love
• Leverage Python/AWS/H2O/Spark stack to analyze large datasets
• Build machine learning models through all development phases
• Translate complex work into tangible business goals

Skills

Python

Machine Learning

Relational Databases

Open Source

AWS

SQL

Data Analysis

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

XGBoost

scikit-learn

statsmodels

Job description

Capital One is seeking a Data Scientist in McLean, VA, to join the Resiliency Intelligence team. You will build ML models using Python, XGBoost, scikit-learn, and statsmodels, handling billions of records to drive personalized solutions that help customers regain financial health.

You will collaborate with data scientists, software engineers, and product managers, translating complex analyses into actionable business outcomes and contributing to scalable ML pipelines across production and