Data Scientist I — iGaming Analytics & Personalization

Fanatics; Denver (CO); On-site; USD 84,000 - 118,000; Full time

Job summary

Fanatics is seeking a Data Scientist I to join our growing Data Science organization. You will apply SQL and Python to analyze sportsbook and casino data, partner with commercial stakeholders, and drive insights that support growth.

The role emphasizes collaboration with analytics teams, building scalable models, and staying current with ML trends in iGaming. Prior 0-2 years experience required; degree in quantitative field preferred; location-based terms may apply.

Qualifications

• 0-2 years 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 Python with experience building and validating ML models.
• Solid understanding of statistics concepts like regression, clustering, and A/B testing.

Responsibilities

• Develop understanding of iGaming ecosystem across Sportsbook and Casino.
• Collaborate with stakeholders to drive total commercial performance through data.
• Work with data scientists and analysts to implement scalable analytical solutions.
• Contribute to automated personalization and promotion engines within iGaming.
• Stay current on ML trends and competitive shifts in sports betting and gaming.

Skills

SQL

Python

Statistics

Stakeholder communication

Data storytelling

Education

Bachelor's degree in a quantitative field

Job description

Fanatics is seeking a Data Scientist I to join our growing Data Science organization. You will apply SQL and Python to analyze sportsbook and casino data, partner with commercial stakeholders, and drive insights that support growth.

The role emphasizes collaboration with analytics teams, building scalable models, and staying current with ML trends in iGaming. Prior 0-2 years experience required; degree in quantitative field preferred; location-based terms may apply.