Basketball Data Scientist
Swish Analytics- Full Time
- Junior (1 to 2 years)
Candidates should possess a college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field, and demonstrate proficiency in Python, with experience building statistical or machine learning models across various sports. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles is also required, along with a passion for sports and a strong understanding of relevant leagues and their dynamics.
As a Senior Data Scientist, Hockey, you will create statistical and machine learning models and integrate them into data science applications, collect and engineer sports data assets to assist in model development, implement the sports models and pricing engines in Python, create automatic tests to ensure model and pricing engine accuracy, collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment, test data flows and model integration in a larger business context, and coach and support more junior data scientists within the 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.