Sr. Marketing Data Scientist

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 unique mission has always been to enhance people’s lives by providing a high-quality fitness experience in a welcoming, non-intimidating environment. And we’re proud of the amazing Planet Fitness team that supports our clubs and team members. They are comprised of dynamic, dedicated, and talented individuals who represent our values of integrity, transparency, passion, respect, and excellence (while having fun!)

in everything they do.

Joining the PF family means being part of a company that cares about bettering the health and wellbeing of our communities. It means being a part of a supportive, engaging workforce with an inclusive culture that values diversity and creates an environment where everyone can feel they belong. It means encouraging professional growth and development. It means making true, lasting connections with your co-workers with celebrations, team building activities and engaging corporate events!

It means creating a positive impact in our local communities through our Judgement Free Generation® philanthropic initiative. It means being part of a brand that you can be proud of!

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, Marketing Analytics & Data Science, the Senior Marketing Data Scientist develops advanced analytical solutions, predictive models, and experimentation frameworks that enable Marketing leaders to optimize member growth, marketing effectiveness, and business performance.

This role partners with Marketing, Technology, and business stakeholders to apply statistical modeling, machine learning, AI, and other advanced analytics techniques to solve complex business problems.

The ideal candidate combines proven predictive and prescriptive modeling expertise, experience building scaled, enterprise-level data science solutions, strong marketing domain business knowledge, and the ability to translate complex insights into actionable 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.

• Develops predictive and prescriptive models and solutions supporting member acquisition, retention, lifetime value, segmentation, next best action, and marketing optimization
• Proposes, designs, and builds scaled, productionalized solutions in collaboration with Data Engineering and Technology which are embedded as a core part of standard marketing business decision processes
• Translates complex analytical outputs into actionable recommendations for Marketing and business leaders
• Evaluates model and solution performance and continuously improves them through time by deploying agile product development and management techniques
• Designs and analyzes experiments including A/B testing, incrementality testing, and other measurement methodologies
• Develops frameworks to evaluate marketing effectiveness, customer behavior, and business outcomes
• Supports forecasting, scenario analysis, and optimization efforts through advanced analytics.

• Works hand in hand with Marketing counterparts to develop a marketing data science and analytics…