About Us:
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!
Overview:
Reporting to the Director, Geospatial Analytics & Data Science, the Senior Data Scientist, Location Intelligence develops advanced geospatial analytical solutions, predictive models, optimization algorithms, and experimentation frameworks that enable business leaders to optimize market expansion, site selection, member growth, and business performance. This role partners with Strategy, Real Estate, Finance, Operations, Marketing, and Technology stakeholders to apply geospatial analytics, statistical modeling, machine learning, AI, and optimization techniques to solve complex location-based business problems. The ideal candidate combines proven expertise in geospatial data science, predictive modeling, spatial optimization, and enterprise analytics with the ability to translate complex spatial 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.
Responsibilities
Advanced Geospatial Analytics, Data Science & Measurement:
Develops predictive and prescriptive geospatial models supporting market expansion, site selection, trade area analysis, cannibalization, white space identification, member demand forecasting, and location optimization. Proposes, designs, and builds scalable, production-ready geospatial solutions in collaboration with Data Engineering and Technology that become embedded in enterprise real estate and market planning decision processes. Applies advanced spatial statistics, machine learning, AI, and optimization techniques to identify market opportunities and improve business performance. Evaluates model performance and continuously improves geospatial solutions through agile product development and ongoing validation. Develops geospatial forecasting models, scenario analyses, simulations, and optimization models that support strategic planning and investment decisions. Designs and evaluates geospatial experiments and measurement methodologies to assess market performance, trade area dynamics, and location strategy effectiveness. Translates complex geospatial analyses into actionable recommendations that guide executive decision-making.
Cross-Functional Partnership:
Works hand in hand with Strategy, Real Estate, and Operations partners to develop the geospatial analytics and data science strategy and roadmap.
Collaborates with Finance, Marketing, Operations, and Technology stakeholders to solve complex business challenges using advanced spatial analytics.
Presents analytical findings and recommendations clearly to technical and non-technical audiences.
Supports enterprise growth initiatives through advanced geospatial modeling and data-driven insights.
Improves geospatial data accessibility, analytical processes, automation capabilities, and model scalability.
Promotes geospatial analytics, AI, and data science best practices across the organization.
Qualifications:
Master's degree in Data Science, Geography, GIS, Statistics, Mathematics, Computer Science, Economics, Engineering, Analytics, Operations Research, or a related quantitative field.3+ years of hands-on experience developing geospatial data science solutions supporting business strategy, location analytics, or market optimization. Demonstrated experience developing predictive models and advanced geospatial analytical solutions for site selection, trade area analysis, market potential, demand forecasting, spatial optimization, customer segmentation, or related location intelligence applications. Strong understanding of spatial statistics, machine learning, optimization techniques, predictive modeling, and geospatial experimentation methodologies. Experience with GIS platforms such as ArcGIS, Esri, CARTO, Mapbox, QGIS, or similar geospatial technologies. Proficiency in Python, SQL, and modern analytics platforms such as Snowflake, Databricks, or similar cloud-based data environments. Experience with geospatial Python libraries such as GeoPandas, Shapely, NetworkX, Rasterio, PySAL, or similar tools is highly desired. Experience with MLOps practices and tools such as MLflow, Kubeflow, Docker, or similar technologies to deploy, monitor, and scale machine learning models is a plus. Strong problem-solving skills with the ability to synthesize complex spatial and business datasets into predictive insights and actionable recommendations. Extremely detail-oriented, efficient, and organized with an exceptional ability to establish priorities and objectives Excellent presentation and written and oral communication skills along with the ability to communicate effectively across all levels of the organization Able to establish and maintain effective, collaborative work relationships with diverse individuals, internally and externally Dedicated learner with a natural curiosity for consistent growth Cooperative team player with an upbeat, positive, "can-do" attitude! PerksPlanet Fitness cares about you and your well-being. We offer a comprehensive benefits package to eligible employees which includes the core medical, dental, vision, life and disability as well as supplemental accident, hospital and critical illness coverage options. In addition, we are proud to offer eligible employees a generous time off program (including volunteer time), childcare reimbursement, paid parental leave, pet care reimbursement, tuition reimbursement, free Black Card membership, learning and development programs and a whole host of engagement activities. We offer a 401(k) Plan with safe harbor employer matching and an employee stock purchase plan. This role is also eligible to participate in an annual corporate bonus incentive program based on company financial and personal performance. The salary for MA-based and NH-based employees hired into this role will be aligned with the range below. This is a good faith estimate, and the amount of base salary will correspond with a candidate's professional experience, qualifications and internal equity. Annual Base Salary Range: $125,000-$150,000 Note to Applicants: We have been made aware of an increasing number of hiring fraud schemes across numerous platforms. Planet Fitness never requires advance payments of any kind for computer equipment or any other purpose at the start of employment. Any request for you to provide payment information during the application process is part of a fraud scheme. Further, we recommend that you do not provide sensitive personal information (SSN, DOB, driver's license number) as part of the initial application process.
Job Summary
Job ID: 2026-20530
Category: Strategy
Type: Full TimeName: Boston, MA (preferred) or Hampton, NHZip: Postal Code: 02210
