Data Science Internship
Level: Intern – Graduate
Time Type: Full-time (40 Hours/Week)
Location: San Diego, CA. On-site preferred, remote considered.
Start: June 2022
What We Are Looking For
Cleat Street Capital is looking for a Data Science Intern to help build some of the most innovative predictive sports models in the world. Academic and/or practical background in Statistics, Computer Science, Data Science or Econometrics are particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis and optimization is also a plus.
Role and Responsibilities
This internship will give you hands-on experience in building and understanding event probability distributions, model selection and training, cross-validation, and optimization of predictive sports models to drive profits in sports betting markets.
Common assignments might be 1) utilizing batted ball data to quantify the win probability impact of MLB players, 2) assess NBA players individual contribution to the pace of a game, or 3) develop player aging curves in the NFL, then integrating your findings into pricing models to optimize trading decisions.
● Passion for sports
● Pursuing a graduate degree in Statistics, Computer Science, Data Science or Econometrics or related field
● Significant experience in R and/or Python
● Sports analytics experience strongly preferred
● Experience in Bayesian statistics and machine learning
● Problem solving ability and love for big data