onsite
Director, Finance - Data Science & Attendance Forecasting - Universal Orlando Resort
Data Scientist
Lead the design and deployment of predictive models for attendance and ticket revenue forecasting, leveraging advanced machine learning, statistical analysis, and data mining techniques to drive financial strategy and insights.
About the role
Key Responsibilities
- Design, develop, and evaluate advanced predictive and machine learning models for attendance and ticketing revenue forecasting across multiple park locations.
- Extract and analyze structured and unstructured guest behavior data to uncover insights on visitation patterns by sales channel, origin, and ticket type.
- Apply statistical analysis, AI, and complex data mining techniques to inform and optimize financial strategy and planning.
- Create clear, compelling visualizations and presentations to communicate findings to senior stakeholders.
- Collaborate with cross‑functional teams to integrate model outputs into operational decision‑making.
Requirements
- Extensive experience in Python and machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
- Strong background in statistical analysis, data mining, and predictive modeling.
- Proficiency in SQL and data manipulation across large datasets.
- Excellent data visualization skills using tools such as Tableau, Power BI, or matplotlib.
- Ability to translate complex analytical results into actionable business insights.
Skills
pythonmachine learningsql