Staff Data Scientist - Growth & Expansion

55 minutes ago
Full-time
Lead
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Own customer-growth metrics across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue.
  • Identify lifecycle behaviors that predict expansion and translate findings into a prioritized growth agenda.
  • Connect product signals, GTM and marketing spend, and Finance growth targets through a shared evidence base.
  • Model agency-to-sub-account activation and expansion to identify where compounding value is created or lost.
  • Design and evaluate growth experiments with rigorous causal-inference standards.
  • Define canonical growth metrics, segment definitions, and customer-value models using governed data.
  • Build reusable growth-measurement and causal-inference methods for Analytics Engineering and adjacent data science teams.
  • Advise Growth, GTM, Finance, and product leaders and influence roadmap and investment decisions.
  • Partner on funnel definitions, TTP, churn, add-on charters, and event-taxonomy improvements.
  • Use AI tooling such as Claude to accelerate exploration, documentation, and analysis.

Requirements

  • 9+ years of experience in product or growth analytics, data science, or applied statistics.
  • Deep experience with activation, retention, conversion, and expansion motions.
  • Track record of building metric or value frameworks adopted by multiple teams to drive outcomes.
  • Strong applied statistics and ability to distinguish causal from correlational findings.
  • Experience designing and interpreting A/B tests, including power analysis and guardrails.
  • Strong SQL and working proficiency in Python; familiarity with Snowflake and dbt.
  • Experience converting behavioral and revenue data into segment-level product, growth, or GTM decisions.
  • Ability to work with imperfect, evolving data and governed sources.
  • Strong cross-functional influence across Growth, GTM, Finance, and product teams without direct authority.
  • B2B SaaS, CRM, product-led growth, freemium, trial, land-and-expand, usage-based revenue, Statsig, AI-assisted analytics, or analyst-mentoring experience preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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