Staff Data Scientist - Growth & Expansion
HighLevel (company site, opens in a new tab)9+ yrsRemoteDirect career pageEst. 30–55 LPA
Posted on 26 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own customer growth outcome end-to-end across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue, coordinating across Growth, GTM, Finance, and product teams.
- Develop and maintain a canonical, segment-level growth measurement and causal inference framework based on governed, certified data for use company-wide.
- Serve as a trusted analytical advisor to leadership, translating data into decision-grade guidance influencing roadmap and investment without direct authority.
Minimum Requirements
- 9+ years in product/growth analytics, data science, or applied statistics with experience in activation, retention, conversion, and expansion.
- Proven track record of building metric or value frameworks used by multiple teams to drive real business outcomes.
- Strong applied statistics skills including causal inference and experiment design (A/B testing).
- Strong SQL and Python proficiency; experience with Snowflake and dbt; ability to work with governed, imperfect data sources.
Ideal Candidate Profile
- Experience operating in a B2B2C or SaaS environment with focus on growth, especially in land-and-expand or trial-to-paid motions.
- Ability to influence cross-functional teams (Growth, GTM, Finance, Product) and align on shared growth metrics without direct authority.
- Strategic thinker comfortable setting technical and analytical standards while handling complex, segmented customer-growth models and causal experiment analysis.