Senior Associate, Data Scientist - Ai Software Engineering
Capital One
McLean, VA, US
Mclean, va: $135,600 - $154,800; new york, ny: $14...
Hybrid
Python
AWS
Spark
Capital One is seeking a Senior Associate, Data Scientist in AI Software Engineering to join their innovative team focused on leveraging cutting-edge technologies to drive data-driven decision-making. The ideal candidate should have a strong background in data science, machine learning, and relevant programming languages, with an emphasis on creativity and technical skills
Job Summary
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Matching Summary
Match Score: 85
Capital One is seeking a Senior Associate, Data Scientist in AI Software Engineering to join their innovative team focused on leveraging cutting-edge technologies to drive data-driven decision-making. The ideal candidate should have a strong background in data science, machine learning, and relevant programming languages, with an emphasis on creativity and technical skills.
Salary
McLean, VA: $135,600 - $154,800; New York, NY: $148,000 - $168,900; San Jose, CA: $148,000 - $168,900; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
Python
AWS
Spark
Machine learning models
Data retrieval and analysis
Nice-to-have
Innovative
Creative problem-solving
Research emerging technologies
Statistical interpretation
Key Requirements
Bachelor's Degree in quantitative field + 2 years experience
Master's Degree in quantitative field or MBA
Experience with AWS
Experience building production-grade agentic platforms