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

Requirements

• 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

Benefits

• 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.