Remote Staff Data Scientist: Revenue Retention

Remote; San Francisco (CA); Remote; USD 180,000 - 280,000; Full time

Job summary

HighLevel is hiring a Staff Data Scientist, Core Revenue Retention to own a retention and monetization agenda across CPaaS and AI features. You will drive causal inference, define governance-friendly metrics, and partner with Finance, Product, and Customer Success to scale revenue retention.

You will lead cross-functional collaboration, set standards for analysts, and shape data strategies across a remote-first, globally distributed team.

Qualifications

• 9+ years in revenue/retention analytics, data science, or applied statistics.
• Proven ability to reason causally about revenue signals.
• Comfort with messy data and governance-friendly definitions.
• Strong SQL and Python skills; Snowflake/dbt experience.
• Track record of influencing cross-functional product decisions.

Responsibilities

• Own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and other 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.
• 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 churn charter, and with the Experimentation lead to test retention interventions rigorously.
• Advise Customer Success, Finance, and Communications/CPaaS leaders, and set the analytical standards that DS and analysts on adjacent teams adopt.
• Set the technical direction for how revenue retention is measured company-wide; own canonical GRR/NRR, churn and add-ons.
• Build the retention and causal-inference framework with reusable methods used by Analytics Engineering teams.
• Use AI tooling to move faster on exploration, documentation, and analysis.

Skills

SQL

Python

Causal inference

Data analysis

Cross-functional influence

Tools

Snowflake

dbt

Job description

HighLevel is hiring a Staff Data Scientist, Core Revenue Retention to own a retention and monetization agenda across CPaaS and AI features. You will drive causal inference, define governance-friendly metrics, and partner with Finance, Product, and Customer Success to scale revenue retention.

You will lead cross-functional collaboration, set standards for analysts, and shape data strategies across a remote-first, globally distributed team.