Senior Marketing Data Scientist - Growth & AI Analytics

Planet Fitness

Boston (MA)

Hybrid

USD 125,000 - 150,000

Full time

8 days ago

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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

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

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