FanDuel is looking to solve the problem of enhancing customer experiences and deepening the understanding of user behavior across marketing, product, and analytics by developing and implementing advanced models.
Requirements
- Analytical and quantitative skills, with proficiency in Python and SQL
- Knowledge of computer science fundamentals
- Experience with machine learning modeling
- Prior classroom or workplace experience related to data science
- Experience working well in a team-oriented environment
- Prior experience working in a heavily regulated industry is beneficial
- Expected Master’s degree completion between August 2026-June 2027, in a technical or STEM field
Responsibilities
- Support with the development and deployment of machine learning models to drive personalized recommendations and user experiences across business units
- Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions
- Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer
- Support projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making
- Support the integration and deployment of cross-functional and cross-organizational projects, developing process improvements
- Stay up to date on the latest advancements in data science and leverage cutting edge technology
- Learn from, brainstorm with, and enable others within the DS team and broader Data organization
Other
- Must be planning for bachelor's degree completion between August 2026 –June 2028, in a technical or STEM field
- Must have U.S. Work Authorization and does not require employer sponsorship now or in the future
- Must be in commutable distance from or willing to relocate to designated office
- Must be willing to be in office 2+ times per week
- Able to communicate technical concepts simply and successfully, to both technical and non-technical audiences
