Staff Data Scientist – Growth & Expansion

HighLevel

. Own the customer-growth outcome end to end across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue .

Posted 9/20/2026full-timeRemote • United StatesLead💰 $163,400 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product and growth analytics, with a strong focus on activation, retention, and conversion strategies. Proficient in applied statistics and causal analysis, leveraging data to influence key business decisions and drive customer growth.

Highest-signal resume keywords

Product/Growth AnalyticsApplied StatisticsSQLPythonB2B SaaS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ActivationRetentionConversionExpansionCausal AnalysisA/B TestingMetric Framework DevelopmentBehavioral Data AnalysisGrowth MeasurementData Interpretation

Soft Skills

Influencing Without AuthorityAnalytical AdvisoryMentoring

Tools & Technologies

SnowflakeDbtStatsigAI Tooling

Industry Keywords

B2B2CFreemiumTrial-to-PaidLand-and-ExpandUsage-Based Revenue

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own the customer-growth outcome end to end across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue
Identify early and mid-lifecycle behaviors that predict expansion and turn findings into a prioritized growth agenda
Connect product signals to GTM/marketing spend and Finance growth targets
Model the B2B2C dynamic of agency-to-sub-account activation and expansion
Partner on the design and rigorous interpretation of growth experiments
Establish shared definitions and models for trial-to-paid, churn, and add-ons
Set technical direction for company-wide customer-growth measurement, canonical metrics, segment definitions, and value models
Build reusable growth-measurement and causal-inference methods
Translate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders
Act as a trusted analytical advisor and set standards adopted by adjacent data science and analytics teams
Flag data gaps and shape the event taxonomy supporting the funnel and value model
Use AI tooling such as Claude for exploration, documentation, and analysis
Report centrally to Product Analytics & Data Science for craft and standards
Help establish a foundation to scale the customer-growth mandate beyond one individual contributor

Requirements

What you’ll need

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 used by multiple teams to drive outcomes
Strong applied statistics and ability to design analysis around causal questions
Fluency partnering on experiments, including A/B design, power, guardrails, and result interpretation
Strong SQL
Working proficiency in Python
Comfort in a Snowflake and dbt environment
Experience turning behavioral and revenue data into segment-level insight that changed product, growth, or GTM decisions
Comfort working with imperfect, in-progress data and governed sources
Ability to influence Growth, GTM, Finance, and product leaders without direct authority
B2B SaaS, CRM, or product-led growth background, especially freemium/trial and land-and-expand motions
Usage-based/consumption or add-on revenue exposure
Familiarity with Statsig or a comparable experimentation platform
Exposure to AI-assisted analytics workflows
Experience mentoring analysts

Benefits

Comp & perks

Remote-first organization
Equal Opportunity Employer
Voluntary demographic information collection for compliance, with no effect on application status