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Lead Data Scientist
| Company | FanDuel |
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| Location | New York, NY, USA |
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| Salary | $150000 – $190000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Master’s or PhD in Statistics, Computer Science, Mathematics, Economics, or a related field is preferred.
- 7+ years of hands-on experience in data science, including 4+ years focused on forecasting or predictive modeling.
- Strong expertise in time series forecasting (ARIMA, SARIMA, Prophet, Holt-Winters) and ML-based prediction (e.g., XGBoost, LightGBM).
- Strong programming skills in Python and/or R; experience with pandas, statsmodels, scikit-learn, or similar libraries.
- Excellent SQL skills and experience working with large-scale datasets and data warehouses (Snowflake, Redshift, BigQuery).
- Ability to communicate complex models and results clearly to technical and non-technical stakeholders.
Responsibilities
- Develop time series and predictive models to forecast betting activity, player value, bonus uptake, deposits etc.
- Model user behavior and lifecycle trends to support customer retention, segmentation, and promotional strategies.
- Work cross-functionally with Finance, Commercial, Product, and Marketing teams to ensure forecasting aligns with their requirements.
- Build scalable, automated forecasting pipelines using Python, SQL, and cloud-native tools (AWS etc.).
- Implement model performance tracking and reporting to ensure forecasts remain accurate over time and under rapidly changing conditions (e.g., live events, market shifts).
- Present complex data insights to executive leadership and non-technical stakeholders with clarity and business context.
- Mentor junior data scientists and set best practices for forecasting methods within the team.
Preferred Qualifications
- Master’s or PhD in Statistics, Computer Science, Mathematics, Economics, or a related field is preferred.
