Senior Product Data Scientist
Core
Drive product and growth decisions by combining product analytics, experimentation, and applied statistical/ML modelling to influence strategy, roadmap, and member experience.
Role type
Senior Product & Growth Data Scientist
Builds
Data-driven insights for acquisition, activation, engagement, retention, and monetisation strategies.
Domain
Health tech / Consumer wellness / Product analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, statistical modelling (regression, classification, time-to-event), experimental design (sequential testing, CUPED, uplift), causal and inferential methods, LTV/churn/retention modelling, data system design (dbt)
Preferred skills
Subscription business models, marketing spend measurement (MMM, attribution), mobile/app-centric data environments
Technologies
dbt, SQL, Python
Responsibilities
Optimise the growth journey by analysing acquisition funnels; Run high-quality experiments with statistical rigour; Shape strategy through metrics across the customer lifecycle; Predict and influence user behaviour using causal methods; Collaborate with leadership to communicate complex insights; Elevate data foundations by working with instrumentation layers
Seniority
Senior, hands-on IC