Staff Data Scientist: Revenue Retention & Monetization

HighLevel; United States; À distance; USD 150 000 - 190 000; Plein temps

Résumé du poste

HighLevel is seeking a Staff Data Scientist, Core Revenue Retention to own the revenue-retention outcome across CPaaS, AI add-ons, and related motions. You will work cross-functionally with Communications/CPaaS, Customer Success, Finance, and product teams, setting standards and driving monetization opportunities.

You will build a robust retention model, ensure rigorous causal analysis, and guide leadership with auditable metrics while navigating governance and a data foundation still maturing.

Qualifications

• 9+ years in revenue/retention analytics or related field.
• Practical causal inference with judgment on causality vs artifacts.
• Comfort untangling messy financial/billing/usage data.
• Strong SQL and Python; experience with Snowflake + dbt.
• Track record of influencing product/pricing/CS decisions with analytics.
• Comfort with imperfect, in-progress data and governance.
• Cross-functional influence across product, CS, Finance, and leadership.

Responsabilités

• Own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and other surfaces.
• Quantify add-on revenue opportunities and drivers behind attach and consumption.
• Apply causal inference methods where clean experiments aren’t feasible.
• Partner with Finance/RevOps on single-source-of-truth definitions and forecasting inputs; drive insights.
• Collaborate with Product Strategy & Growth on churn charter and with Experimentation on retention interventions.
• Advise CS, Finance, and CPaaS leaders and set analytics standards.
• Set the technical direction for company-wide retention metrics and taxonomy.
• Build reusable retention/causal-inference framework for Analytics Engineering and adjacent DS teams.
• Utilize AI tooling to accelerate exploration, documentation, and analysis.

Connaissances

Revenue analytics

Causal inference

Data wrangling

SQL

Python

Cross-functional influence

Outils

Snowflake

dbt

Claude

Description du poste

HighLevel is seeking a Staff Data Scientist, Core Revenue Retention to own the revenue-retention outcome across CPaaS, AI add-ons, and related motions. You will work cross-functionally with Communications/CPaaS, Customer Success, Finance, and product teams, setting standards and driving monetization opportunities.

You will build a robust retention model, ensure rigorous causal analysis, and guide leadership with auditable metrics while navigating governance and a data foundation still maturing.