Sr. Data Scientist, Econometrics

Founded in 1992 in Dover, NH, Planet Fitness is one of the largest and fastest-growing franchisors and operators of fitness centers in the world by number of members and locations. As of March
31, 2026, Planet Fitness had approximately 21.5 million members and 2,909 clubs in all 50 states, the District of Columbia, Puerto Rico, Canada, Panama, Mexico, Australia and Spain.

The Company's mission is to enhance people's lives by providing a high-quality fitness experience in a welcoming, non-intimidating environment, which we call the Judgement Free Zone®. Approximately 90% of Planet Fitness clubs are owned and operated by independent business owners.

At Planet Fitness, our purpose is to create a more connected and Judgement Free™ planet, where fitness and wellbeing are within reach for all. That commitment extends to our team members and how we work together.

Breaking Boundaries Together is how we bring our employee experience to life, creating a place where people can show up as themselves, explore what's possible, continue to grow and achieve more together than they can alone. Guided by our PLANET Principles, we put people first, lead with authenticity and integrity, embrace change and thrive together.

For the past 30 years, we've helped millions of people in their fitness journey and revolutionized the industry along the way. And we're just getting started!

Reporting to the Director, Strategy Analytics, the Senior Data Scientist, Econometrics develops advanced pricing and promotion analytics solutions, predictive models, optimization algorithms, and experimentation frameworks that enable business leaders to optimize pricing and promotion decisions globally.

This role partners with Strategy, Finance, Operations, Marketing, and Technology stakeholders to apply econometrics models, statistical analyses, machine learning, AI, and optimization techniques to solve complex elasticity and promotion incrementality business problems.

The ideal candidate combines proven expertise in econometrics techniques, predictive modeling, price and promotion optimization, and enterprise analytics with the ability to translate complex price and promotion insights into actionable business recommendations.

This role follows a hybrid schedule and requires regular, in-person work at our Boston, MA or Hampton, NH office. Our hybrid model is M/T/W in office and TH/F are optional work-from-home. Candidates must reside within commuting distance of one of these locations. Fully remote work is not available for this role.

Advanced Econometrics, Data Science & Measurement

• Develops predictive and prescriptive econometric models supporting price elasticity, promotion incrementality, price optimization, promotional effectiveness, cannibalization, halo effects, demand forecasting, and margin optimization.
• Proposes, designs, and builds scalable, production-ready pricing and promotion solutions in collaboration with Data Engineering and Technology that become embedded in enterprise pricing and promotional planning decision processes.
• Applies advanced econometrics, causal inference, machine learning, AI, and optimization techniques to identify pricing and promotion opportunities and improve business performance.
• Evaluates model performance and continuously improves econometric solutions through agile product development and ongoing validation.
• Develops demand forecasting models, scenario analyses, simulations, and optimization models that support pricing and promotion strategy, strategic planning, and investment decisions.
• Designs and evaluates pricing and promotion experiments and measurement methodologies to assess price elasticity, promotional lift, and pricing and promotion strategy effectiveness.
• Translates complex econometric analyses into actionable recommendations that guide executive decision-making.

Cross-Functional Partnership

• Works hand in hand with Strategy, Finance, and Marketing partners to develop the econometrics and pricing and promotion analytics strategy and roadmap.
• Collaborates with Finance, Marketing, Operations, and Technology stakeholders to solve complex business challenges using advanced econometric analytics.
• Presents analytical findings and recommendations clearly to technical and non-technical audiences.
• Supports enterprise growth initiatives through advanced econometric modeling and data-driven insights.
• Improves pricing and promotion data accessibility, analytical processes, automation capabilities, and model…