Staff Data Scientist
Core
Build and own the foundation of a Product Intelligence function by combining data engineering, analytics, experimentation, and machine learning to drive product decisions and strategic priorities.
Role type
Staff Data Scientist (Product Intelligence & Data Infrastructure)
Builds
Scalable data foundations, self-service dashboards, experimentation frameworks, and production ML models for product teams.
Domain
B2B SaaS / Product Analytics / Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Snowflake, dbt, AWS, statistical modeling, causal inference, product instrumentation, experimentation design, data storytelling
Preferred skills
Amplitude, Mixpanel, Statsig, Optimizely
Technologies
Snowflake, dbt, AWS, Sigma, Looker, Tableau, Statsig, Optimizely
Responsibilities
Define instrumentation requirements and event schemas; build scalable self-service dashboards; lead deep-dive analyses on funnels, retention, and cohorts; own the product experimentation practice; apply ML techniques to predict customer behavior; productionize and monitor ML models; establish analytical standards and workflows.
Seniority
Staff, hands-on IC with strategic ownership