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SeniorFull-timePythonRustReactAWSData ScienceAIMLData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an experienced Senior Data Scientist to partner with our Membership organization to optimize Ouraβs 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.
Key Responsibilities
- βBuild and maintain data pipelines integrating subscription and membership data from source systems to provide a complete view of the member lifecycle and value.
- βBuild predictive models to understand drivers of member retention, churn, reactivation, and LTV by segment, channel, and cohort.
- βLead the design, implementation, and analysis of A/B tests and other experiments across pricing, packaging, and lifecycle communications.
- βPartner with Marketing, Finance, and Product teams to design and evaluate offers that improve acquisition efficiency and member retention.
- βBuild models to optimize membership growth and retention, informing business decisions.
- βLeverage data engineering and analytical skills to transform data into actionable insights.
- βDevelop dashboards and reporting tools to visualize membership funnel KPIs.
Requirements
- β6+ years of experience in data science or analytics, particularly at a subscription/membership business.
- βDemonstrated success applying data science and ML to optimize subscription funnels, pricing, offers, or lifecycle programs.
- βExperience with time series forecasting and survival analysis.
- βStrong SQL and data engineering skills, with experience unifying and transforming data from subscription management services.
- βStrong proficiency in Python for building statistical, machine-learning, forecasting, and optimization models.
- βExperience with data visualization tools for executive-level financial reporting.
- βExperience with data development leveraging modern data stack and cloud platforms.
- βProven ability to partner effectively with Marketing, Growth, and Engineering leaders.
- βProven ability to translate complex analyses into clear, concise narratives for senior executives.
- βStrong business acumen with deep understanding of membership metrics.
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