Senior Data Scientist
Core
Build metrics, cohorts, dashboards, and propensity models (conversion, upgrade, churn, expansion) to drive real-time targeting, in-product nudges, and growth experiments for Adobe's creative tools.
Role type
Senior Business Data Scientist (Product Analytics & Growth)
Builds
Production ML models for targeting/nudges, dashboards for user funnel analysis, and multivariate experiments for onboarding/paywalls/pricing.
Domain
SaaS / Creative Tools / Subscription Business
Deliverable
production ML models | dashboards & analysis | product features
Required skills
SQL, Python (or R), A/B testing design & statistical significance, segmentation & predictive modeling (propensity, churn, LTV), funnel & cohort analysis, translating business questions to structured analysis, AI-assisted workflows
Preferred skills
Master's/PhD in quantitative field, consumer product analytics in creative tools/SaaS, customer satisfaction/NPS modeling, modern data stacks (Databricks, Spark), product analytics tools (Adobe Analytics, Amplitude, FullStory), experimentation platforms
Technologies
SQL, Python, R, Databricks, Spark, Adobe Analytics, Amplitude, FullStory
Responsibilities
Map user funnel and build metrics/cohorts/dashboards for Product and Growth teams; Build propensity models for conversion, upgrade, churn, and expansion; Find and size growth bets and work with Product to ship them; Set north-star, driver, and guardrail metrics and stand up multivariate experiments.
Seniority
Senior, hands-on IC
