Staff Data Scientist - Growth & Expansion

The role

You will own customer growth across the Growth, GTM, Finance and product teams. You will find which early behaviors predict expansion and guide leaders on where to invest, using governed data and experiments.

What you will do

• Own the customer-growth outcome end to end: onboarding, activation, trial-to-paid, multi-product adoption and expansion revenue
• Identify early and mid-lifecycle behaviors that predict expansion, and turn them into a prioritized growth agenda
• Connect product signal to GTM/marketing spend and Finance growth targets
• Model the agency to sub-account dynamic and surface where compounding value is created or lost
• Partner with the Experimentation & Causal Inference lead to design and read growth experiments
• Own canonical metrics, segment definitions and the value model on governed, certified data
• Build the growth-measurement and causal-inference framework reused by other teams
• Translate findings into decision-grade guidance for Growth, GTM, Finance and product leaders
• Flag data gaps to Analytics Engineering and shape the event taxonomy
• Use AI tooling to speed up exploration, documentation and analysis

Required qualifications

• 9+ years in product/growth analytics, data science or applied statistics
• Deep experience across activation, retention, conversion and expansion motions
• Track record of building a metric or value framework that multiple teams drove outcomes with
• Strong applied statistics and causal reasoning
• Fluency partnering on experiments (A/B design, power, guardrails)
• Strong SQL and working proficiency in Python
• Comfort in a Snowflake + dbt environment
• Experience turning behavioral and revenue data into segment-level insight that changed a decision
• Comfort working with imperfect, in-progress data
• Cross-functional influence without direct authority

Nice to have

• B2B SaaS, CRM or product-led growth background, especially freemium/trial and land-and-expand motions
• Usage-based or add-on revenue exposure
• Familiarity with Statsig or a comparable experimentation platform
• Exposure to AI-assisted analytics workflows
• Experience mentoring analysts

Benefits

• Not listed in the posting.

Before you apply

• Remote-first global organization across 10+ countries

About the company

HighLevel is an AI-powered business operating system for agencies, entrepreneurs and small businesses, supporting customers in 150+ countries. The company has more than 2,000 team members.