Staff Data Scientist - Growth & Expansion
Core
Own the customer-growth analytics agenda across the full lifecycle (onboarding, activation, retention, expansion) to create a shared evidence base for growth decisions.
Role type
Staff-level individual contributor data scientist (growth & expansion)
Builds
Customer-growth measurement frameworks, causal-inference models, and segment-level insights for B2B SaaS expansion
Domain
B2B SaaS, Growth Analytics, Customer Lifecycle Management
Deliverable
production ML models | dashboards & analysis
Required skills
Applied statistics, causal inference, A/B test design, SQL, Python, Snowflake, dbt, cross-functional influence, strategic thinking
Preferred skills
B2B SaaS experience, usage-based revenue models, Statsig, AI-assisted analytics, mentoring
Technologies
Snowflake, dbt, Statsig, Python, SQL
Responsibilities
Own end-to-end customer-growth outcomes; Establish trusted metrics for the customer lifecycle; Identify behaviors predicting long-term expansion; Translate data into segment-level insights for product/GTM decisions; Model B2B2C customer journeys; Partner on rigorous growth experiments; Set technical direction for growth measurement; Develop reusable frameworks for causal inference; Advise senior leaders on growth strategy; Identify data gaps to improve event taxonomy.
Seniority
Staff, hands-on IC with strategic influence
