Staff Data Scientist – Core Revenue Retention

Role Overview

HighLevel is hiring a Staff Data Scientist to own the outcome of keeping and growing revenue from existing customers across every team that shapes it. The role involves building the retention/value model, separating real churn signal from data-maturity and mix artifacts, and turning diagnosis into a prioritized, evidence-based retention and add-on-monetization agenda.

What You Will Do

The Staff Data Scientist will own the causal read on core revenue retention and add-on monetization, quantify add-on revenue opportunity, apply rigorous causal inference, and partner with Finance/RevOps and Product Strategy & Growth on single-source-of-truth definitions and forecasting inputs.

Why It Might Be a Fit

The ideal candidate will have 9+ years of experience in revenue/retention analytics, data science, or applied statistics, with deep experience on churn, retention, and monetization. They will be comfortable untangling messy financial/billing/usage data and defining metrics that survive scrutiny from Finance and product alike.

Requirements

• 9+ years in revenue/retention analytics, data science, or applied statistics
• Deep experience on churn, retention, and monetization
• Practical causal inference with sound judgment
• Strong SQL and working proficiency in Python
• Comfort in a Snowflake + dbt environment
• Track record where a retention or monetization diagnosis changed a product, pricing, CS, or lifecycle decision

Benefits

• Salary range: $163,400 – $220,000 a year
• EEO Statement: The company is an Equal Opportunity Employer