Staff Data Scientist - Revenue Retention & Growth

HighLevel; Texas; Hybrid; USD 170,000 - 210,000; Full time

Job summary

HighLevel is seeking a Staff Data Scientist, Core Revenue Retention, to own the revenue-retention outcome across CPaaS, add-ons, and Success motions. You’ll build the retention model, separate signal from noise, and set standards adopted across analytics teams.

This hands-on, cross-functional role reports to Product Analytics and Data Science and scales the mandate as it proves impact. The role requires deep experience in churn, retention monetization, SQL/Python, and governance of data sources,

Qualifications

• 9+ years in revenue/retention analytics, data science, or applied statistics.
• Practical causal inference with sound judgment about when a result is causal.
• Comfort untangling messy financial/billing/usage data and defining robust metrics.
• Strong SQL and Python; experience with Snowflake + dbt.
• Track record of affecting product/pricing, CS, or lifecycle decisions.
• Ability to influence cross-functionally without direct authority.
• Experience with governance of data sources and adoption across teams.

Responsibilities

• Own the causal read on core revenue retention and add-on monetization across CPaaS and related surfaces.
• Quantify add-on revenue opportunity and drivers of attachment and usage.
• Apply rigorous causal inference methods where clean experiments aren’t feasible.
• Partner with Finance/RevOps on single-source-of-truth definitions and forecasts.
• Collaborate with Product Strategy on churn-related initiatives and growth charter.
• Advise leadership and set analytic standards adopted by DS teams.
• Define the canonical retention metrics and data taxonomy across governed data.
• Build reusable retention and causal-inference frameworks for analytics teams.

Skills

SQL

Python

Causal inference

Revenue analytics

Cross-functional collaboration

Data storytelling

AI tooling

Experimentation

Analytics strategy

Churn/retention monetization

Tools

dbt

Snowflake

Statsig

Claude-like AI tooling

Job description

HighLevel is seeking a Staff Data Scientist, Core Revenue Retention, to own the revenue-retention outcome across CPaaS, add-ons, and Success motions. You’ll build the retention model, separate signal from noise, and set standards adopted across analytics teams.

This hands-on, cross-functional role reports to Product Analytics and Data Science and scales the mandate as it proves impact. The role requires deep experience in churn, retention monetization, SQL/Python, and governance of data sources,