Senior Associate, Data Science - People Analytics
Location: On-Site, Richmond, VA

Job Description:

Location: Richmond, Virginia (Hybrid – 3 days in office per week)
Company: Capital One

Are you a data science enthusiast with a passion for human capital?
Do you want to be part of a team that shapes the future of talent at one of the most innovative companies in the world? Join Capital One's People Strategy & Analytics team as a Senior Associate, Data Science, where you’ll use your technical expertise to influence and drive strategies that directly impact the people and culture of the organization.

What You'll Do:

  • Build Data-Driven Models: Use machine learning, statistical methods, and open-source tools to design models that predict and optimize talent strategies across Capital One.
  • Support Strategic Talent Initiatives: Apply your data science expertise to help Capital One attract, develop, and retain top talent, and create an exceptional associate experience.
  • Transform Human Capital: Dive into the data and solve complex challenges surrounding associate behavior, productivity, diversity, and executive pipeline building.
  • Collaborate Across Teams: Work with business partners to interpret data, inform decisions, and contribute to the company's talent strategy.
  • Innovate Continuously: Stay on the cutting edge by researching emerging data science technologies and methodologies and apply them to the People Analytics space.

Who You Are:

  • Passionate about People: You believe in the power of data to enhance the human experience and improve business outcomes.
  • Creative and Innovative: You love tackling complex problems and thinking outside the box to create new solutions.
  • Statistically-Minded: You’re experienced in building, validating, and backtesting models. You’re familiar with confusion matrices, ROC curves, and various machine learning techniques (clustering, classification, sentiment analysis, etc.).
  • Tech-Savvy: You’re comfortable working with open-source languages and cloud platforms, and you’re eager to develop new skills.

Basic Qualifications:

  • Education: Bachelor’s degree with 3 years of experience in data analytics OR Master’s degree with 1 year of experience in data analytics.
  • Skills:
    • At least 1 year of experience with open-source programming languages (Python, R, etc.)
    • At least 1 year of experience with machine learning techniques
    • At least 1 year of experience working with relational databases (SQL)

Preferred Qualifications:

  • Advanced Education: Master’s or PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
  • Experience:
    • At least 2 years of experience in Python, PyTorch, Scala, or R
    • At least 2 years of experience with machine learning
    • At least 2 years of experience with SQL
    • Experience working with AWS

Why Capital One?

  • Inclusive Work Environment: Capital One promotes diversity, equity, and inclusion across the workplace, making it a place where everyone can thrive.
  • Impactful Work: Your work will directly shape how Capital One attracts, nurtures, and retains its talent.
  • Flexibility: Enjoy a hybrid work model that allows you to balance in-office collaboration with the flexibility of remote work.
  • Career Growth: You'll have endless opportunities to grow your data science and human capital expertise in a company that’s invested in your development.
  • Comprehensive Benefits: Enjoy competitive health, financial, and wellness benefits that support your total well-being.

Join a company that’s revolutionizing the future of work through data. Apply today to be a part of Capital One’s People Strategy & Analytics team.

How to Apply:
Submit your application via the Capital One Careers website. Be sure to include your resume and cover letter. Capital One is an equal opportunity employer and values diversity and inclusion.


Key Skills:

  • Senior Associate, Data Science - People Analytics