VP Revenue Data Science

The Vice President of Revenue & Data Science will lead the Revenue Strategy and Data Science organization, responsible for building and maintaining a sophisticated, scalable ecosystem of tools, models, and insights that drive revenue optimization across a multi-content slate.

Requirements

• 12+ years of experience in revenue strategy, analytics, data science, consulting, or related fields
• Proven experience building and scaling dynamic pricing models, forecasting systems, or advanced analytics platforms
• Deep expertise in predictive modeling, statistical analysis, machine learning, and data-driven decision-making
• Strong understanding of how commercial levers (pricing, inventory, timing, marketing) interact to drive demand and revenue
• Demonstrated experience working with both first-party and third-party data ecosystems

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Growth and longevity for employees are top priorities