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.

A minimum of 3-5 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.

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Data Scientist

Key skills