Senior Data Scientist - Membership

We are looking for an experienced Senior Data Scientist to partner with our Membership organization to optimize Oura’s membership business. You will drive membership growth, retention, pricing, and engagement by building data products and models that directly inform membership strategies, offers, and lifecycle programs. Your work will help Oura better understand and optimize for our membership subscription that grows lifetime value, and scales with both enterprise and consumer demand.

You will play a key role in shaping our data and AI strategy for membership analytics, collaborating with various teams across Marketing, Finance, and Product organizations. This role is a “full-stack” Data Scientist role, requiring a strong data engineering understanding initially — collaborating closely with engineers to unify subscription data from various business systems — to create an integrated, trustworthy membership data layer. Over time, the role will evolve toward more advanced analytics and ML modeling, such as retention & LTV modeling, and pricing optimizations.

This is a remote US role with a strong preference for candidates based in the US Eastern Time Zone.

What You Will Do

• 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.

Requirements

We would love to have you on our team if you have:

• 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 strategi