Staff Data Scientist - Core Revenue Retention

About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts.

About the Role:: We're hiring a Staff Data Scientist, Core Revenue Retention to own one outcome — keeping and growing revenue from existing customers — across every team that shapes it. Revenue retention isn't the property of a single product: it spans CPaaS (phone, SMS, email, WhatsApp) as our largest MRR surface, add-on monetization including emerging AI features, the Customer Success motions that protect accounts, and Finance's forecasts. This is a broad, cross-functional role. You'll work closely with Communications/CPaaS, Customer Success, the AI teams pursuing add-on revenue, Finance, and other revenue-driving product teams; you report centrally to Product Analytics & Data Science for craft and standards and carry the revenue-retention outcome across organizational boundaries. You'll build the retention/value model, separate real churn signal from data-maturity and mix artifacts, and turn diagnosis into a prioritized, evidence-based retention and add-on-monetization agenda. You'll work amid a data foundation still being built, consuming governed sources rather than rebuilding them, and raising the bar as you go. This is a hands-on, direction-setting Staff role — you advise Customer Success, Finance, and CPaaS leaders and set retention-measurement standards that analysts on adjacent teams adopt, with a path to grow a pod as the mandate scales.

Responsibilities:: Own the causal read on core revenue retention and add-on monetization — gross and net revenue retention, MRR churn (voluntary vs involuntary), attach and usage of add-ons — across CPaaS, AI add-ons, and other revenue surfaces Quantify add-on revenue opportunity across CPaaS and emerging AI features, and the drivers behind attach and consumption Apply rigorous causal inference (matching, diff-in-diff, survival/hazard, synthetic control) where clean experiments aren't feasible — separating real signal from selection bias, seasonality, and mix Partner with Finance/RevOps on single-source-of-truth definitions and forecasting inputs; drive the revenue-retention insights Partner with the Product Strategy & Growth org on the TTP/churn charter, and with the Experimentation lead to test retention interventions rigorously Act as a trusted analytical advisor to Customer Success, Finance, and Communications/CPaaS leaders, and set the analytical standar