Staff Data Scientist - Core Revenue Retention
Core
Own the analytics strategy for retaining and growing revenue from existing customers by analyzing churn, retention, subscription revenue, usage, and add-on monetization across communications and AI-powered revenue streams.
Role type
Staff-level individual contributor data scientist (revenue retention)
Builds
Company-wide measurement standards, rigorous causal-inference models, and reusable analytical frameworks for revenue health
Domain
B2B SaaS / Telecommunications / AI-powered revenue streams
Deliverable
production ML models | dashboards & analysis
Required skills
causal inference, churn and retention analysis, monetization strategy, SQL, Python, Snowflake, dbt, cross-functional influence, statistical modeling, data governance
Preferred skills
CPaaS/telephony experience, B2B SaaS/CRM background, experimentation platform familiarity, AI-assisted analytics, mentoring
Technologies
Snowflake, dbt, Python, SQL, Statsig
Responsibilities
Own analytical and causal assessment of core revenue retention and add-on monetization; Analyze retention across communications, messaging, telephony, and AI-powered add-ons; Quantify opportunities for add-on revenue growth; Apply rigorous causal-inference techniques when controlled experiments are not feasible; Distinguish genuine retention signals from data artifacts; Partner with Finance and Revenue Operations to establish consistent definitions; Collaborate with Product Strategy and Growth on churn and trial-to-paid initiatives; Serve as a trusted analytical advisor to senior leaders; Establish analytical standards for the organization; Set technical direction for company-wide revenue-retention measurement; Work with governed data sources to improve data foundations; Build reusable retention and causal-inference frameworks; Use AI-assisted tools to accelerate workflows; Translate retention diagnoses into evidence-based business priorities
Seniority
Staff, hands-on IC with strategic influence
