Data Scientist III
About The Position
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Role Overview We are looking for a Data Scientist II to join the Fanatics Markets Data team. This is a high-impact role where you will bridge the gap between complex behavioral data and actionable business strategy. Our culture is built on high ownership and accountability, and we value fast iteration balanced with strong statistical rigor, clear documentation, and reproducible research. You’ll thrive here if you are business-impact-driven and enjoy the challenge of connecting betting behavior to long-term value signals in a collaborative, innovative environment.
Requirements
- 5 plus years of experience as a Data Scientist or Quantitative Analyst in tech, gaming, or finance.
- Strong experience with Python (specifically pandas, NumPy, scikit-learn) and advanced SQL.
- Strong applied statistics and experimental design knowledge (A/B testing, hypothesis testing, causal reasoning).
- Hands-on experience with modern data warehouses (Snowflake, BigQuery, or Redshift)
- Familiarity with dbt, uplift modeling, and causal ML techniques
- Working experience within AWS or GCP environments
- Ability to translate complex quantitative findings into clear insights for non-technical audiences.
- Degree in a quantitative field (Statistics, Computer Science, Economics, Engineering, or similar).
Nice To Haves
- Experience in sports betting, iGaming, or fintech, particularly working with CRM and lifecycle marketing datasets.
- Familiarity with A/B testing at scale, uplift modeling, and causal inference.
- Exposure to ML pipeline orchestration (Airflow, Databricks, MLflow).
Responsibilities
- Partner with Product and CRM teams to design, evaluate, and scale a rigorous experimentation roadmap (A/B testing, hypothesis testing) to improve promotional efficiency and bonus ROI.
- Build and maintain production-grade models for churn, LTV, segmentation, and cross-sell propensity, moving from initial feature engineering to automated monitoring.
- Analyze customer journeys and high-frequency betting patterns to improve lifecycle marketing and reduce early-lifecycle churn.
- Support live testing and deploy models into production environments using modern orchestration tools (Airflow, MLflow).
- Create dashboards and automated insight pipelines for key KPIs
- Present clear, data-driven recommendations to stakeholders across London, Dublin, and U.S. offices.
- Contribute to internal standards for reproducible analysis, version control (Git), and model monitoring.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
