Data Science Manager
FanDuel is a premier US-based gaming destination, offering daily fantasy sports, sports betting, and online casino games. Founded in 2009 to innovate the fantasy sports industry, it has become a leading mobile sports betting operator, allowing users to bet on sports, play online games, and build fantasy teams across a wide array of professional sports leagues.
Funding history
Projects
About FanDuel
FanDuel is the premier gaming destination and #1 Sportsbook in the United States. What started as a backyard brainstorm in Texas in 2009 has grown into a major force in the gaming industry. The company revolutionized fantasy sports by simplifying the season-long game into daily contests, allowing fans to compete and win daily. Today, with over 12 million registered users, FanDuel offers a wide range of products including sports betting on leagues like the NFL, NBA, MLB, and NHL; an online casino with blackjack, slots, and live dealer games; daily fantasy sports for various sports like football, baseball, and basketball; and horse racing betting for major events. Additionally, FanDuel provides content through FanDuel TV and insights via FanDuel Research, making every moment of the game more engaging for its users.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop predictive sports models across the full model lifecycle, build tools and dashboards, price markets, and generate actionable insights. You will work with product, risk, and trading teams on player, team, and game performance models, while managing and developing data scientists.
Requirements
- Minimum 5 years of industry experience in data science, analytics, or engineering preferred
- Bachelor's degree in a highly numerate major or relevant data science experience preferred
- Experience managing or mentoring data scientists or analysts
- Strong analytical and quantitative skills
- Proficiency in Python or R and SQL
- Strong understanding and application of Bayesian statistics
- Expertise building and using models for production-level products and tools
- Proficiency 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
- Interest or experience in sports gaming or fantasy sports
Responsibilities
- Develop and deploy machine learning models to predict sports outcomes
- Improve betting product offerings
- Improve pricing techniques and optimize model pricing with trading teams
- Manage data scientists developing production-ready models
- Select tools, systems, and models for large data problems
- Troubleshoot coding and modeling problems
- Identify opportunities for data analysis
- Create project plans for the Data Science team
- Present findings to senior leaders
- Construct models, analyses, and solutions for stakeholder problems
- Manage data preparation from collection through cleaning
- Build predictive models using feature and model selection
- Contribute to production code
- Create dashboards and data visualizations
- Develop data science talent
- Lead forums and disseminate key decisions
- Identify and solve inefficiencies
Benefits
- Health insurance
- Fertility and family planning programs
- Mental health support
- Fitness benefits
- Paid time off
- Paid sick leave
- Annual bonus
- Long-term incentive opportunities
- 401(k) with up to a 5% match
- Commuter benefits
- Pet insurance
- Medical insurance
- Vision insurance
- Dental insurance
- Life insurance
- Disability insurance
- Paid personal time off
- 14 paid company holidays
