About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders.

Responsibilities

• Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
• Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
• Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
• Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
• Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
• Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Experience and Skills

• A minimum of 2+ years proven experience in a data science or advanced analytics role.
• Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
• Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
• Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
• Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.
• Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
• Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

• Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
• Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus.