FanDuel is looking to accelerate the scalability and sophistication of best-in-class experimentation practice while maintaining standardization of processes across teams.
Requirements
- Experience designing and running A/B/n experiments in a fast-paced environment.
- Familiarity with advanced testing techniques (multi-armed bandit, synthetic controls) a plus.
- Advanced experience with SQL, Python and/or object-oriented programming.
- Experience with Databricks, including packaging code and app deployment a plus.
- Strong problem-solving skills, with ability to work through ambiguity and deliver solutions to business problems.
Responsibilities
- Own end-to-end delivery of experiments (e.g., A/B/n, multivariate, multi-armed bandit), including design, execution and analysis, ensuring best practices and statistical rigor are met across all stages.
- Provide thought leadership in experimentation capabilities development.
- Partner with teams across the organization (Product, Data Science, MLE, etc.) to implement scalable, modular solutions.
- Mentor junior analysts to help build their technical skills, such as statistical analysis, coding best practices.
- Drive FanDuel’s test-and-learn mindset across teams by promoting the value of experimentation, sharing results transparently, and encouraging iterative improvement.
Other
- 3+ years of experience in data focused role such as data science, analytics or research.
- Bachelor’s degree in Math, Economics, Computer Science or similar domain.
- Commercial acumen: understanding of P&L, business principles and commercial levers
- A “can-do” attitude and the type of person who constantly looks for solutions and better ways of operating
- Knowledge of sports and/or experience working within a heavily regulated industry is a plus
