Data Scientist I - iGaming Growth & Personalization

Fanatics; Denver (CO); On-site; USD 82,000 - 110,000; Full time

Job summary

Fanatics is seeking a Data Scientist I to join its Decision Science team, focusing on creating insights to drive business growth in Sportsbook and Casino. You will partner with senior stakeholders and analysts to deliver data-driven recommendations and build scalable analytics solutions.

The role emphasizes LTV modeling, experimentation, and advanced analytics in a fast-paced, high-growth environment, with opportunities to explore Generative AI approaches for insight generation.

Qualifications

• 2+ years of proven experience in a data science or advanced analytics role.
• Degree in a quantitative field such as Mathematics, Physics, Statistics, Engineering, Computer Science, or Economics.
• Strong SQL proficiency and strong Python proficiency with experience building and validating ML models.

Responsibilities

• Develop a deep understanding of the iGaming ecosystem, including Sportsbook and Casino products, operations, and player behavior.
• Build strong relationships with stakeholders across both Sports and Casino businesses, acting as a key technical contributor to driving performance.
• Collaborate with Data Scientists and Analysts to implement scalable solutions for complex iGaming problems.
• Contribute to development and improvement of automated personalization and promotion engines across the iGaming suite.
• Build and maintain Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.

Skills

SQL

Python

Statistics

Causal inference

Generative AI

Stakeholder comms

Education

Quantitative degree

Job description

Fanatics is seeking a Data Scientist I to join its Decision Science team, focusing on creating insights to drive business growth in Sportsbook and Casino. You will partner with senior stakeholders and analysts to deliver data-driven recommendations and build scalable analytics solutions.

The role emphasizes LTV modeling, experimentation, and advanced analytics in a fast-paced, high-growth environment, with opportunities to explore Generative AI approaches for insight generation.