Build and maintain data pipelines integrating subscription and membership data from source systems to provide a complete view of the member lifecycle and value. Ensure data quality, lineage, and governance standards for membership data systems.
Build predictive models to understand drivers of member retention, churn, reactivation, and LTV by segment, channel, and cohort.
Lead the design, implementation, and analysis of A/B tests and other experiments across pricing, packaging, and lifecycle communications to quantify impact and inform membership strategy and roadmap decisions.
Partner with Marketing, Finance, and Product teams to design and evaluate offers that improve acquisition efficiency and member retention, and to integrate these learnings into long-term strategic roadmaps.
Build models to optimize membership growth and retention, informing business decisions to strategically optimize financial decisions.
Leverage data engineering and analytical skills to transform data into actionable and reportable insights.
Develop dashboards and reporting tools to visualize membership funnel KPIs, cohort performance, and the impact of product/business changes on member outcomes.

6+ years of experience in data science or analytics, particularly at a subscription/membership business. A graduate degree in a relevant quantitative field is preferred.
Demonstrated success, in partnership with Membership/Subscription, Growth, or Marketing teams, applying data science and ML to optimize subscription funnels, pricing, offers, or lifecycle programs.
Experience with time series forecasting and survival analysis.
Strong SQL and data engineering skills, with experience unifying and transforming data from subscription management services/platforms, and integrating these datasets with other business and product data.
Strong proficiency in Python for building statistical, machine-learning, forecasting, and optimization models.
Experience with data visualization tools (e.g., Tableau, Looker, Power BI, etc) for executive-level financial reporting.
Experience with data development leveraging modern data stack and cloud platforms (e.g. AWS, Databricks, dbt, etc)
Proven ability to partner effectively with Marketing, Growth, and Engineering leaders, moving quickly to translate technical work into strategic insights/decisions.
Proven ability to translate complex analyses into clear, concise narratives and recommendations for senior executives, influencing roadmap and investment decisions.
Strong business acumen with deep understanding of membership metrics and decision-making frameworks.
Experience working with international and distributed teams.

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave

Senior Data Scientist – Membership

Key skills