Senior Associate, Data Scientist - Enterprise Tech Analytics
Location: On-Site, Richmond, VA

Job Description:

Location: West Creek 4 (12074), Richmond, Virginia

At Capital One, we’ve always been driven by data—it's the foundation of everything we do. From disrupting the credit card industry with personalized offers back in 1988, to becoming a Fortune 200 leader in data-driven decision-making, our passion for data continues to fuel innovation across the company. Now, we’re looking for a Data Scientist to join us as we take the next leap in transforming the tech industry through machine learning, big data, and cutting-edge analytics.

What You’ll Do:

  • Collaborate & Innovate: Join forces with a dynamic team of data scientists, software engineers, and product managers to design and deliver solutions that delight our customers and elevate their financial lives.
  • Tech Stack Mastery: Work with a wide range of advanced technologies—Python, Conda, AWS, H2O, Spark, and more—to uncover key insights from vast, complex datasets.
  • End-to-End Model Development: From ideation to implementation, build machine learning models that drive business outcomes. You’ll design, train, validate, and deploy models that make a tangible difference in the world.
  • Bridge the Gap: Use your communication skills to translate technical complexity into real-world impact, ensuring your insights translate into actionable business goals.

The Ideal Candidate:

  • Innovative Thinker: Always exploring new technologies and methodologies, you’re excited about staying on top of emerging trends and applying them to real-world problems.
  • Creative Problem Solver: Big, undefined problems don’t scare you. You thrive on asking the hard questions and pushing boundaries to find answers.
  • Data Enthusiast: With a deep understanding of large datasets, you know how to extract valuable insights and turn them into actionable results.
  • Machine Learning Pro: Whether it’s clustering, classification, or deep learning, you’re skilled at building, validating, and interpreting complex models.

Basic Qualifications:

  • A Bachelor’s Degree (or equivalent work experience) plus at least 2 years of experience in data analytics, or you’re pursuing a Master’s Degree (or PhD) in a related field, to be completed before your start date.
  • 1+ year of experience using open-source programming languages (e.g., Python, R) for large-scale data analysis.
  • 1+ year working with machine learning techniques.
  • 1+ year of experience with relational databases.

Preferred Qualifications:

  • Master’s Degree or PhD in a STEM field (Science, Technology, Engineering, Mathematics).
  • At least 2 years of hands-on experience with AWS.
  • Proficiency with Python, Scala, or R and machine learning frameworks.
  • Solid understanding of SQL and database management.

Why Capital One?

  • Competitive Compensation & Benefits: We offer a comprehensive benefits package, including health, dental, vision, retirement plans, and more.
  • Incentive-Based Rewards: Eligible employees can earn performance-based compensation, including bonuses and long-term incentives.
  • Innovation-Driven Culture: Join a team of tech enthusiasts committed to continuous learning, exploring new technologies, and leading innovation.
  • Work-Life Balance: Enjoy flexibility with hybrid working options and a focus on collaboration and teamwork in a supportive environment.

Let’s Build the Future of Tech Together!

At Capital One, we’re more than a financial services company—we’re a technology-driven innovator shaping the future of finance. If you’re ready to be part of a team that’s pushing the boundaries of machine learning and big data, apply today!


Key Skills:

  • Senior Associate, Data Scientist - Enterprise Tech Analytics