Data Scientist

• Conduct deep exploratory data analysis on historical ticket sales, movie schedules, attendance trends, and promotional campaigns.
• Build robust pricing models and demand forecasting tools considering time, location, movie type, holidays, and social media buzz.
• Develop optimization algorithms for showtime scheduling across multiple screens and locations.
• Analyze promotional campaign effectiveness and build attribution models to optimize future marketing spend.
• Engineer relevant features from transactional, demographic, and behavioral data.
• Create initial PoC models and pipelines for pricing, scheduling, and promotions optimization.
• Collaborate with business and operations teams to define KPIs and translate business challenges into modeling tasks.
• Deliver interactive dashboards (Streamlit or similar) and reports to visualize model outputs and business insights.
• Document the model logic, assumptions, and performance for both technical and non-technical audiences.

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