FanDuel is looking to optimize its Sportsbook customer generosity distribution and bonus spend through data-driven decision making.
Requirements
- Minimum of 4+ years of previous Data Science or Analytics Experience
- Minimum 3+ years building and deploying complex machine learning models with real world applications
- Expert in SQL and experience of manipulating large datasets in Microsoft Excel
- Expert in statistical or programming software and techniques (e.g. in Python, R, C, VBA , etc.)
- Experience working with data visualization tools like Tableau an advantage
- Knowledge of sports is a plus
- Interest or experience in the Sports betting industry is an advantage
Responsibilities
- Lead data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence
- Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution
- Improve our understanding of customer value, behaviors, efficiency of promotions, and effectiveness of bonus spend
- Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs
- Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines
- Work with Machine Learning Engineering teams to optimally deploy models in production
Other
- Minimum of 4+ years of previous Data Science or Analytics Experience
- Undergraduate degree in a numerate or technical discipline
- Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders
- Assist in coaching, developing and performance managing less experienced team members
- Collaborate with key stakeholders to effectively identify areas for improvement, and support their strategic objectives
