Senior Director, Applied Data Science - Revenue & Optimization

Location: New York City, NY; onsite position

Salary: $200,000–$230,000 USD per year

Company

hirify.global develops immersive experiences, technology, media, live entertainment venues, sports and entertainment networks, and streaming products.

What you will do

• Own the applied data science strategy for revenue growth and optimization across Sphere Experiences.
• Lead demand forecasting for occupancy, ticket sales, revenue, and new products with limited historical data.
• Develop pricing, yield, inventory allocation, price elasticity, willingness-to-pay, and revenue optimization models.
• Build scenario, sensitivity, experimentation, and causal-analysis frameworks to measure commercial and marketing impact.
• Explain model drivers, assumptions, limitations, sensitivities, and uncertainty to Revenue Strategy and senior leadership.
• Build and lead a high-performing data science team and partner with Revenue Strategy, Marketing, Ticketing, Finance, and Data & Analytics.

Requirements

• 10+ years of relevant experience in data science, statistics, econometrics, revenue management, forecasting, quantitative analytics, operations research, or a related field.
• Experience leading data science teams or complex quantitative initiatives.
• Deep expertise in demand forecasting, statistical modeling, predictive analytics, optimization, and commercial pricing or revenue management.
• Strong experience with Python, R, Stata, or another statistical programming language, plus SQL and data manipulation.
• Strong experience with Tableau, dashboards, and data visualizations.
• Ability to explain model behavior and connect analytical findings to business and financial outcomes.

Nice to have

• Experience in entertainment, live events, ticketing, hospitality, travel, airlines, gaming, e-commerce, or another dynamic-demand industry with perishable inventory.
• Experience with dynamic pricing, revenue-management systems, time-series or hierarchical forecasting, Bayesian methods, econometrics, or mathematical optimization.
• Experience building forecasting or optimization capabilities from the ground up and modeling new products, venues, or markets.
• Advanced degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, Data Science, or a related quantitative field.

Culture & Benefits

• Access to upskilling tools and resources supporting career development.
• Emphasis on employee growth and longevity.
• Equal employment opportunities and reasonable accommodation support.
• On-site work includes following appearance and presentation guidelines.