Role Overview
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming.
What You Will Do
Develop a deep understanding of the iGaming ecosystem, build strong relationships with stakeholders, and contribute to the development of automated personalization and promotion engines across the iGaming suite.
Why It Might Be a Fit
The role requires a strong understanding of statistics concepts, expertise in experimental design and causal inference, and the ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
Requirements
- A minimum of 2+ 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.
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Paid time off
- Retirement plan
- Learning budget
- Parental leave
- Wellness programs
- Visa/relocation support
- Remote flexibility
- Stipends
- Bonus/commission
- Paid holidays
To apply for this job please visit job-boards.greenhouse.io.
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