Data Scientist – Baseball Player Investment

Location: Washington, DC

Big League Advance started as an investment fund that provides minor league baseball players with the resources they need to help make their dream a reality. Players receive capital – not loans – and a player keeps the funds whether or not he ever makes it to the Major Leagues. For players who make it to the Major Leagues, we share in their success.

Our team of analysts has built models for investing in baseball players, sports betting and consulting for sports teams. For this role, we are looking for a talented Data Scientist specializing in baseball player investment to add to our analytics team in our Washington, DC office. If you think you have what it takes to identify the under-the-radar superstars of the future, apply below.



  • Develop and deploy predictive models to identify and price potential player investment opportunities
  • Research new methods to develop and improve sophisticated predictive models, staying adept with the latest research and techniques in the field
  • Analyze baseball datasets to identify statistically significant patterns and extract predictive features
  • Collaborate with a team of data scientists and engineers


  • A passion for sports
  • Bachelors degree in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or related field; PhD or Masters preferred, but not required
  • Proficiency with Python
  • Experience with SQL queries
  • Skilled in a variety of statistical modeling and machine learning techniques
  • Experience building models in a cloud-based ecosystem preferred, but not required
  • Baseball analytics experience preferred, but not required
  • Max. file size: 64 MB.
Data Scientist – Baseball Player Investment