Staff Data Scientist - Core Revenue Retention

The role

You will own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons and other revenue surfaces. You will build the retention and value model and turn diagnosis into a prioritized retention and add-on agenda, working with Customer Success, Finance and CPaaS leaders.

What you will do

• Own the causal read on gross and net revenue retention, MRR churn and add-on attach and usage across CPaaS and AI add-ons
• Quantify add-on revenue opportunity across CPaaS and emerging AI features
• Apply causal inference methods such as matching, diff-in-diff, survival/hazard and synthetic control where clean experiments are not feasible
• Partner with Finance and RevOps on single-source-of-truth metric definitions and forecasting inputs
• Partner with Product Strategy & Growth on the churn charter and with the Experimentation lead on retention tests
• Advise Customer Success, Finance and Communications/CPaaS leaders on analysis
• Set company-wide standards for measuring revenue retention and own canonical GRR, NRR, churn and add-on metrics
• Build the retention and causal-inference framework and reusable methods for other teams
• Use AI tooling to speed up exploration, documentation and analysis

Required qualifications

• 9+ years in revenue/retention analytics, data science or applied statistics
• Deep experience with churn, retention and monetization
• Practical causal inference with sound judgment on causal versus artifact results
• Comfort with messy financial, billing and usage data and defining metrics Finance and product accept
• Strong SQL and working proficiency in Python
• Comfort in a Snowflake and dbt environment
• Track record of a retention or monetization diagnosis changing a product, pricing, CS or lifecycle decision
• Comfort working with imperfect, in-progress data
• Cross-functional influence without direct authority

Nice to have

• CPaaS (telephony/messaging) or usage-based/consumption revenue experience
• B2B SaaS or CRM background; MRR/subscription billing, dunning and involuntary-churn recovery experience
• Familiarity with Statsig or a comparable experimentation platform
• Exposure to AI-assisted analytics workflows
• Experience mentoring analysts

About the company

HighLevel is an AI-powered business operating system serving over 1 million businesses in 150+ countries. It operates as a global, remote-first organization with over 2,000 team members across 10+ countries.