SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 82,000 - 110,000 / annual
Fanatics Betting and Gaming, the online and retail sports betting subsidiary of Fanatics, is seeking a Data Scientist I to join the newly formed Decision Science team within the Data Science organization. This role reports to the Decision Science Manager and focuses on creating insights to drive business growth by partnering closely with senior commercial stakeholders across the Sportsbook and Casino business units.
Key responsibilities include developing deep understanding of the iGaming ecosystem (Sportsbook and Casino products, operations, and player behavior); building strong relationships with stakeholders across Sports and Casino business units as a key technical contributor to commercial performance; collaborating with Data Scientists and Analysts to implement scalable solutions for complex iGaming business problems; contributing to development, deployment, and iterative improvement of automated personalization and promotion engines; building and maintaining sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency; and staying current on technology, machine learning trends, and competitive shifts in the global sports betting and gaming industry.
Fanatics is a leading global digital sports platform with over 100 million global sports fans in its database, partnerships with approximately 900 sports properties, and over 2,000 retail locations. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S., with Fanatics Casino currently available in Michigan, New Jersey, Pennsylvania, and West Virginia. The company operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium.
Requirements:
- Minimum 2+ years proven experience in a data science or advanced analytics role
- Degree in a quantitative field (Mathematics, Physics, Statistics, Engineering, Computer Science, or 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 qualifications:
- 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
