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| US Citizen | Student Visa |
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| OPT | H4 Spouse of H1B |
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| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
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| Contract to Hire – Corp 2 Corp |
Description:
ABOUT FANDUEL
FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.
FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey , Georgia, California, Oregon, Canada and Scotland.
Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.
FanDuel Group is a subsidiary of Flutter Entertainment plc, the world’s largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Scientist for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges You will promote effective communication of model outputs and contribute to a collaborative code environment.
THE STATS
What we’re looking for in our next teammate
- A minimum of 1 year of Industry Experience in data science, analytics or engineering preferred
- Bachelor’s Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
- Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL
- Understanding and application of Bayesian statistics
- Experience building and using models to help create production level products and tools
- Comfortable with command line tools and GitHub
- Object-oriented design and coding skills
- Strong verbal and written communication skills
- Ability to work across teams, locations and time zones
Responsibilities:
Please refer the Job description for details
