FanDuel Group is looking to tackle challenging sports modeling problems by creating predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across the company.
Requirements
- 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
Responsibilities
- Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
- Iterate and improve on betting product range to ensure market leading offering
- Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
- Construct models, analyzes and solutions in response to a question or problem posed by a stakeholder or colleague
- Manage the data preparation process from collection through cleaning
- Build robust predictive models, showing capabilities of feature and model selection
- Contribute to a production code environment
Other
- 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 verbal and written communication skills
- Ability to work across teams, locations and time zones
- Interest or experience in Sports Gaming and/or Fantasy Sports
