HighLevel
HighLevel
201 – 500 Employees
ConsultingLogisticsSaaS
HighLevel is a SaaS company that develops an all-in-one marketing and sales platform for businesses and marketers. Its software brings together lead capture, appointment scheduling, pipeline management, websites, funnels, landing pages, and automated follow-up through phone, SMS, email, and social channels. HighLevel also provides API integrations, membership and course-management tools, and white-label options that let businesses offer the platform under their own brand. For job seekers, the company’s profile reflects work centered on building and supporting a broad business-automation product used across consulting, logistics, and other service-oriented organizations.

Staff Data Scientist, Growth & Expansion – HighLevel (Remote, US)

Lead customer-growth measurement and expansion analytics at HighLevel, an AI-powered business operating system. Deliver causal, segment-level insights that guide Growth, GTM, Finance, and product investment decisions.

Description

  • Own end-to-end measurement of customer growth across onboarding, activation, trial-to-paid conversion, multi-product adoption, and expansion revenue
  • Determine which early- and mid-lifecycle behaviors predict expansion and use the findings to shape growth priorities
  • Link product signals with go-to-market and marketing investment and Finance growth objectives
  • Analyze the B2B2C pathway from agency activation to sub-account expansion
  • Collaborate on the design and robust interpretation of growth experiments
  • Create shared definitions and analytical models for trial-to-paid conversion, churn, and add-ons
  • Direct the technical approach to company-wide growth measurement, canonical metrics, segment definitions, and value models
  • Develop reusable approaches for growth measurement and causal inference
  • Turn analytical findings into decision-ready recommendations for Growth, GTM, Finance, and product leadership
  • Serve as a trusted analytics advisor and establish standards adopted by neighboring data science and analytics teams
  • Identify data gaps and help define the event taxonomy that supports funnel and value modeling
  • Apply AI tools such as Claude to exploration, documentation, and analysis
  • Report centrally to Product Analytics & Data Science for analytical craft and standards
  • Help build the foundation needed to expand the customer-growth function beyond a single individual contributor

Requirements

  • At least 9 years of experience in product or growth analytics, data science, or applied statistics
  • Extensive experience spanning activation, retention, conversion, and expansion initiatives
  • Demonstrated success creating a metric or value framework adopted by multiple teams to improve outcomes
  • Strong applied-statistics background and the ability to structure analyses around causal questions
  • Experienced partner for experiments, including A/B test design, power analysis, guardrails, and result interpretation
  • Advanced SQL proficiency
  • Working proficiency in Python
  • Comfort working in Snowflake and dbt environments
  • Experience converting behavioral and revenue data into segment-level insights that influenced product, growth, or GTM decisions
  • Ability to work effectively with imperfect, evolving data and governed sources
  • Ability to influence Growth, GTM, Finance, and product leaders without direct authority
  • Background in B2B SaaS, CRM, or product-led growth, particularly freemium or trial and land-and-expand models
  • Exposure to usage-based, consumption, or add-on revenue models
  • Familiarity with Statsig or a comparable experimentation platform
  • Experience with AI-assisted analytics workflows
  • Experience mentoring analysts

Benefits

  • Remote-first work environment
  • HighLevel is an equal opportunity employer
  • Voluntary demographic information may be collected for compliance and does not affect application status

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