Job Description

Title: Sports Data Scientist Location: Washington, DC Salary: $100,000 - 150,000 Contact: Paul Chatlos, pchatlos@smithhanley.com -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 Sport Data Scientist 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