Senior Data Science Leader: Drive ML Strategy & Impact

Capital One; Richmond (VA); On-site; USD 209,000 - 239,000; Full time

Benefits offered by this job

Health benefits

Incentives (bonus/long-term incentives

Job summary

Capital One in Richmond, VA is seeking a Data Scientist Sr Mgr to lead the Personal Loan Acquisition modeling team. You will work with data scientists, software engineers, and product managers to build ML models and drive data-driven decisions at a large scale.

You will apply Python, Spark, AWS, and open-source tools to unlock insights from billions of records and translate findings into measurable business impact, including underwriting, pricing, and verification processes.

Qualifications

• Bachelor's or higher in a quantitative field plus multiple years of analytics experience.
• Hands-on experience with open-source languages for large-scale data analysis.
• Experience with machine learning and relational databases is required.

Responsibilities

• Partner with cross-functional teams to deliver data science products.
• Leverage Python, Conda, AWS, H2O, Spark to analyze massive datasets.
• Build machine learning models through all development stages.
• Translate complex work into tangible business goals.

Skills

Python

Conda

AWS

Spark

H2O

Relational databases

Open-source tools

Cloud computing

Machine learning

Education

Bachelor's degree in quantitative field

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

PhD in quantitative field

Tools

Relational databases

Job description

Capital One in Richmond, VA is seeking a Data Scientist Sr Mgr to lead the Personal Loan Acquisition modeling team. You will work with data scientists, software engineers, and product managers to build ML models and drive data-driven decisions at a large scale.

You will apply Python, Spark, AWS, and open-source tools to unlock insights from billions of records and translate findings into measurable business impact, including underwriting, pricing, and verification processes.