Principal Associate, Data Scientist - Mainstreet Acquisitions

Capital One

McLean, VA, US
Mclean, va: $161,800 - $184,600; new york, ny: $17...
Not specified
Bachelor's degree in quantitative field plus 5 years experience
Master's or phd in quantitative field with 3 years experience
Hands-on python, scala, or r development
Capital One is seeking a Principal Associate, Data Scientist for its Mainstreet Acquisitions team, focused on developing innovative credit underwriting models using advanced statistical methodologies and machine learning techniques. The ideal candidate will have a strong technical background in data analytics and a passion for improving customer outcomes through data-driven solutions

Job Summary

  • The team focuses on developing, deploying, and governing valuations models to bring real-time personalized offers to customers.
  • Candidates will leverage technologies like Python, AWS, Spark, and Conda to build next-gen credit underwriting models.
  • The role offers a collaborative culture that values innovation, informal hierarchy, and pushing the envelope with new data approaches.

Matching Summary

Match Score: 85

Capital One is seeking a Principal Associate, Data Scientist for its Mainstreet Acquisitions team, focused on developing innovative credit underwriting models using advanced statistical methodologies and machine learning techniques. The ideal candidate will have a strong technical background in data analytics and a passion for improving customer outcomes through data-driven solutions.

Salary

McLean, VA: $161,800 - $184,600; New York, NY: $176,500 - $201,400; Performance-based incentive compensation available

Skills & Requirements

Must-have

  • Bachelor's degree in quantitative field plus 5 years experience
  • Master's or PhD in quantitative field with 3 years experience
  • Hands-on Python, Scala, or R development
  • Machine learning model development and validation
  • SQL database querying and management

Nice-to-have

  • AWS cloud computing platform experience
  • Experience with alternative data sources
  • Strong interpersonal communication skills
  • Passion for customer-first decision making
  • Creative problem-solving for undefined problems

Key Requirements

  • Quantitative degree (BS/MS/PhD) in Statistics, CS, Math, etc.
  • Minimum 3-5 years of data analytics experience depending on degree level
  • At least 1 year of AWS experience preferred
  • At least 3 years experience in Python, Scala, or R
  • At least 3 years experience with SQL and Machine Learning

Work Rights

Not specified

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