Description

You will drive dynamic pricing strategy for LA Kings ticketing using statistical modeling and machine learning. Collaborate with cross-functional teams to optimize revenue, forecast demand, and deploy scalable data science tooling.

Requirements

• Senior professional level with experience in data analysis and statistical modeling.
• Proficiency in machine learning and data science lifecycle management.
• Ability to work cross-functionally with Sales, Service, Marketing, and Operations.
• Strong communication skills to present findings to business partners.
• Experience in pricing strategy or revenue optimization preferred.

Responsibilities

• Implement dynamic pricing mechanisms adjusting ticket prices in real-time based on team performance, opponent strength, and event timing.
• Use models to identify pricing trends, optimize ticket prices, and forecast revenue for seating categories.
• Manage end-to-end data science lifecycle from design to deployment and maintenance.
• Provide analysis and guidance for promotional campaigns aligned with pricing strategies.
• Collaborate with business partners to communicate findings and define strategic priorities.