Sr. Marketing Data Scientist

Planet Fitness; Boston (MA); Hybrid; USD 125,000 - 150,000; Full time

Benefits offered by this job

401(k) Plan with safe harbor employer

Employee stock purchase plan

Annual corporate bonus program

Tuition reimbursement

Paid time off and volunteer time

Job summary

Planet Fitness is seeking a Senior Marketing Data Scientist to build advanced analytics and predictive models that drive member growth and marketing effectiveness. You will partner with Marketing, Technology, and business stakeholders to deliver enterprise-scale data science solutions in a hybrid in-office role in Boston, MA or Hampton, NH.

The ideal candidate brings a strong background in predictive modeling, experimentation, and marketing analytics, with experience deploying data science in

Qualifications

• Master's degree in a quantitative field required with strong academic record.
• 3+ years hands-on experience deploying data science for marketing solutions.
• Proven ability to develop predictive models for LTV, segmentation, and CRM.
• Solid understanding of A/B tests, incrementality, causal inference, and attribution.
• Experience with modern cloud analytics platforms and data engineering collaboration.

Responsibilities

• Develops predictive and prescriptive models for member acquisition, retention, LTV, segmentation, and marketing optimization.
• Designs scalable, production-ready analytics solutions embedded in marketing decision processes.
• Translates complex outputs into actionable recommendations for Marketing and leadership.
• Evaluates model performance and iterates using agile product development practices.
• Designs experiments including A/B testing and incrementality studies; analyses measurement methods.
• Creates frameworks to evaluate marketing effectiveness and customer behavior.
• Supports forecasting, scenario analysis, and optimization via advanced analytics.

Skills

Predictive modeling

Marketing analytics

LTV modeling

Segmentation

Acquisition propensity

Churn analysis

Winback campaigns

CRM solutions

A/B testing

Incrementality testing

Causal inference

Attribution

Geolift analysis

Statistical hypothesis testing

Communication

Presentation skills

Education

Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, Engineering, or a related quantitative field

Tools

Python

SQL

Snowflake

Databricks

MLflow

Kubeflow

Docker

Job description

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, 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.

Responsibilities

Advanced Analytics, Data Science, and Measurement

• 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.

Cross-Functional Partnership

• Works hand in hand with Marketing counterparts to develop a marketing data science and analytics strategy and roadmap
• Collaborates with Finance, Operations, and Strategy stakeholders to understand business challenges and develop analytical solutions
• Presents analytical findings and recommendations clearly to technical and non-technical audiences
• Supports strategic initiatives through advanced analytics and data-driven insights
• Improves data accessibility, analytical processes, and automation capabilities
• Promotes data science best practices and responsible use of advanced analytics.

Qualifications

• Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, Engineering, or a related quantitative field
• 3+ years of hands-on experience deploying data science for marketing solutions
• Demonstrated experience and expertise in developing predictive models and advanced analytical solutions for LTV, segmentation, acquisition propensity, churn, winback, NBA, and related marketing and CRM solutions
• Strong understanding of experimentation methodologies including A/B testing, incrementality testing, causal inference, attribution, geo-lift analysis, and statistical hypothesis testing; experience with more advanced measurement techniques such as Bayesian Structural Time Series is a plus
• Proficiency in Python, SQL, and modern analytics platforms such as Snowflake, Databricks, or similar cloud-based data environments
• Experience with MLOps practices and tools such as MLflow, Kubeflow, or Docker to deploy, monitor, and scale machine learning models in production is a plus
• Strong problem-solving skills with the ability to synthesize complex datasets into predictive insights and actionable business 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!

Planet 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