OverviewThis role will be an integral part of building out our new data science team!
Reporting to the Director, Marketing Analytics & Data Science, the Senior Data Scientist, Customer Analytics builds the core customer models that guide how we grow and keep our members, including lifetime value, next best action, attrition, and propensity models. You will lead the design and build of these models, partner with Data Engineering to put them into production, and see them used in everyday marketing decisions.
This role partners with Marketing, Technology, Data Engineering, and business stakeholders to apply statistical modeling, machine learning, and other advanced analytics to real questions about member behavior. In your first year, you can expect to design and build several of these core models and help set the roadmap for what comes next.
The ideal candidate has built and deployed customer predictive models in a marketing, CRM, or subscription setting, works well with engineering teams to get models into production, and can explain results clearly to non-technical leaders. Experience with experimentation and measurement is a plus.
You will work in a collaborative environment on big, high-visibility projects that change how we grow and serve our members.
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.
ResponsibilitiesCore Modeling and Data Science• Designs and builds predictive and prescriptive models for lifetime value, next best action, attrition and winback, conversion propensity, and segmentation.
• Works with Data Engineering and Technology to move models into production and embed them in standard marketing decision processes.
• Translates complex analytical outputs into actionable recommendations for Marketing and business leaders.
• Monitors model performance and improves models over time through regular retraining and iteration.
Measurement and Experimentation• Designs and analyzes experiments, including A/B and incrementality tests, to validate the impact of models and marketing programs.
• Develops frameworks to evaluate marketing effectiveness and customer behavior.
• Supports forecasting and scenario analysis as needed.
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- Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field; or a bachelor's degree with equivalent hands-on experience
- 3+ years of hands-on experience developing and deploying predictive models for customer analytics within marketing, CRM, subscription, or consumer-focused businesses
- Demonstrated experience developing predictive models and analytical solutions, including customer lifetime value, attrition, win-back, propensity, next-best-action, and segmentation models
- Proficiency in Python and SQL
- Hands-on experience working with Snowflake, Databricks, or a comparable cloud-based data and analytics environment (Preferred)
- Experience with experimentation and measurement methodologies, including A/B testing, incrementality testing, causal inference, attribution, geo-lift analysis, and Bayesian Structural Time Series (Preferred)
- Experience with MLOps practices and tools, such as MLflow, Kubeflow, or Docker, to deploy, monitor, maintain, and scale models in production (Preferred)
- Experience working within subscription, retail, or other consumer-focused businesses (Preferred)
- Strong analytical and problem-solving skills, with the ability to translate complex data into predictive insights and clear, 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!
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-$165,000
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.
