Staff Data Scientist - Core Revenue Retention
Core
Own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and Customer Success motions to drive gross/net revenue retention and MRR churn reduction.
Role type
Staff Data Scientist (Revenue Retention & Monetization)
Builds
Retention/value models, causal inference frameworks, and evidence-based retention/agenda for existing customers.
Domain
B2B SaaS, CPaaS, AI features, Revenue Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Causal inference (matching, diff-in-diff, survival/hazard, synthetic control), SQL, Python, Snowflake, dbt, cross-functional influence, metric definition, data diagnosis
Preferred skills
CPaaS/telephony experience, usage-based/consumption revenue, B2B SaaS/CRM background, experimentation platforms (Statsig), AI-assisted analytics, mentoring
Technologies
Snowflake, dbt, Python, SQL, Claude
Responsibilities
Own causal read on GRR/NRR, MRR churn, and add-on usage; Quantify add-on revenue opportunity; Apply rigorous causal inference to separate signal from artifacts; Partner with Finance/RevOps on single-source-of-truth definitions; Partner with Product Strategy & Growth on TTP/churn charter; Act as trusted analytical advisor setting standards; Set technical direction for company-wide revenue retention metrics; Build reusable retention and causal-inference frameworks.
Seniority
Staff, hands-on IC with direction-setting and cross-org influence