Tennis Data Scientist
Swish AnalyticsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field, proficiency in Python with experience building statistical or machine learning models across various sports, a solid grasp of data science principles and statistical modeling, and familiarity with tools like Kubernetes, Kafka, version control, and MLOps.
Yes, the role requires demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics.
This information is not specified in the job description.
This information is not specified in the job description.
You will collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment, and coach junior data scientists within the Sports Modeling team.
Online platform for fantasy sports and betting
DraftKings operates in the online gaming and entertainment industry, focusing on daily fantasy sports, sports betting, and online casino games. Users can engage in daily fantasy sports contests for cash prizes, place bets on various sports events, and play casino games like slots, blackjack, roulette, and poker. The platform also includes a marketplace for digital collectibles, allowing users to buy, sell, and trade NFTs of celebrities. DraftKings ensures compliance with gaming regulations, providing a secure environment for its users. Unlike many competitors, DraftKings offers a diverse range of gaming options and revenue streams, attracting a wide audience of sports fans, gamblers, and digital collectors. The company's goal is to create a comprehensive and safe platform for users to enjoy various gaming activities and digital asset trading.