SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: EUR 47,300 - 59,400 / 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 in Dublin. 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.
You will develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior. Key responsibilities include building strong relationships with stakeholders across Sports and Casino business units, serving as a technical contributor to driving total commercial performance. You will collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems, and contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
A significant focus will be building and maintaining sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency. You will provide ongoing analysis and recommendations to stakeholders and remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.
Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds, and Dublin. The company operates the Fanatics Sportsbook (available to 95% of the addressable online sports bettor market in the U.S.) and Fanatics Casino (currently available in Michigan, New Jersey, Pennsylvania, and West Virginia), plus twenty-two retail sports betting locations.
**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:**
- 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
