We are seeking a seasoned Data Science Expert to head our yield management and price optimization efforts in the event industry. This role focuses on leveraging predictive analytics and data science to boost revenue optimization through dynamic ticket pricing and demand forecasting strategies. You will analyze a variety of data sources, including web, customer, transactional, and social data, to effectively predict demand and implement pricing strategies throughout the sales cycle. The ultimate goal is to maximize revenue by optimizing ticket allocation across different pricing tiers and adjusting prices based on real-time sales data.
responsibilities :
Identify critical predictors of event success by analyzing web, customer, transactional, and social data.
Collaborate with data engineers to develop and maintain robust data pipelines.
Design and refine algorithmic models for:
Demand forecasting and revenue prediction for events.
Dynamic pricing optimization to maximize revenue during sales periods.
Efficient inventory allocation across various pricing categories.
requirements-expected :
Minimum 5 years of experience in a similar data science role.
Extensive experience in developing and applying algorithmic pricing models.
Advanced proficiency in SQL and Python for complex data handling and model development.
Strong background in predictive modeling and demand forecasting.
