Data Scientist / Predictive Modeler (Sports)

  • Big League Advance
  • Washington, DC, USA
  • Sep 26, 2018
Full-time Analytics Big Data Data Analysis Data Science Decision Science ETL Machine Learning Python R SQL

Job Description

Big League Advance is looking to hire a Data Scientist / Predictive Modeler.

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, engineers and analysts

Requirements

  • PhD or Masters in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or similar degree preferred
  • Advanced level of proficiency with R and/or Python
  • Experience with SQL queries
  • Significant experience in predictive analytics
  • Skilled in generalized linear models, decision trees, gradient boosting, random forests, support vectors, Bayesian statistics, regularization, neural networks, ML techniques (especially feature engineering), Markov chain models, survival analysis, clustering, ensemble and stacking methods
  • Sports analytics experience preferred, but not required
  • Creative problem solving and critical thinking skills with strong attention to detail
  • A passion for approaching complex problems with the goal to design innovative solutions, achieving high levels of predictive accuracy

To apply, email jrosenfeld@bigleagueadvance.com

Salary

125000-250000