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 retention and MRR churn reduction.
Role type
Staff Data Scientist (Revenue Retention & Monetization)
Builds
Retention/value models, causal inference frameworks, and standardized revenue metrics for CPaaS and AI features.
Domain
B2B SaaS, CPaaS, AI monetization, Revenue Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Causal inference (matching, diff-in-diff, survival/hazard), SQL, Python, Snowflake, dbt, cross-functional influence, financial data analysis, churn modeling, monetization strategy
Preferred skills
CPaaS/telephony experience, usage-based billing, experimentation platforms (Statsig), AI-assisted analytics, mentoring analysts
Technologies
Snowflake, dbt, Python, SQL, Claude (AI tooling)
Responsibilities
Own causal read on GRR/NRR and MRR churn; quantify add-on revenue opportunity; apply rigorous causal inference to separate signal from bias; partner with Finance/RevOps on metrics and forecasting; advise leadership on retention interventions; set technical direction for company-wide retention metrics; build reusable causal-inference frameworks.
Seniority
Staff, hands-on IC with direction-setting and cross-org influence