Product Data Scientist (Growth)
Core
Product Data Scientist focused on growth and retention, turning data into product decisions for activation, conversion, monetization, and retention through rigorous A/B testing and behavioral insights.
Role type
Product Data Scientist (Growth)
Builds
Experimentation infrastructure, growth measurement frameworks, and retention analysis for an AI storytelling and visual creation platform.
Domain
Consumer AI / Generative AI / SaaS
Deliverable
production ML models
Required skills
A/B testing design and analysis, SQL, Python, statistical foundation, funnel diagnostics, cohort analysis, LTV segmentation, behavioral segmentation, opportunity sizing, metric definition, dashboard building, causal inference methods
Preferred skills
Early-stage startup experience, consumer product/marketplace/subscription experience, experimentation platforms (Statsig, Optimizely), BigQuery, Amplitude, Metabase, Stripe, GCP, AI/ML products experience
Technologies
BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP
Responsibilities
Design, run, and analyze A/B tests across signup, onboarding, activation, monetization, and retention; define experimental rigor (test sizing, MDE, run duration); perform deep-dive growth funnel and retention analyses; define and own key product metrics; build and validate dashboards; translate analyses into actionable recommendations for PMs and engineers.
Seniority
Mid-level (3–6 years experience), hands-on IC