Data Scientist

Location: New York, NY

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 is currently exploring new opportunities within the world of sports gambling where we can utilize our analytic capabilities to make an impact. We are developing predictive models across all major sports and are looking for Data Scientists who can fulfill the following primary responsibilities:

  • Develop and deploy predictive models/algorithms in the field of sports analytics
  • Research new methods to develop and improve sophisticated predictive models, staying adept with the latest research and techniques in the field
  • Analyze various data sets to identify statistically significant patterns and extract predictive features
  • Collaborate with a team of data scientists and engineers

 

Requirements:

  • A passion for sports
  • Proficiency with R and/or Python
  • Experience with SQL queries
  • Skilled in a variety of statistical modeling and machine learning techniques
  • PhD or Masters in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or similar degree preferred, but not required
  • Experience building models in a cloud-based ecosystem preferred, but not required
  • Sports analytics experience preferred, but not required
Data Scientist