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Staff Data Scientist - Growth & Expansion

GoHighLevel· Engineering – Data Platform
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RemoteEmployee IndiaPosted 3w ago

About the role

Staff Data Scientist focused on customer growth across onboarding, activation, trial-to-paid, multi-product adoption, and expansion in a cross-functional Growth organization.

Responsibilities

  • Own the customer-growth outcome end to end - onboarding, activation, TTP, multi-product adoption, and expansion revenue - across Growth, GTM, and the product teams that drive it, with clear, trusted metrics at each stage
  • Identify which early and mid-lifecycle behaviors predict expansion (second product, higher plan, add-on attach), and translate into a prioritized growth agenda
  • Connect product signal to GTM/marketing spend and Finance's growth targets - a single evidence base the whole growth motion shares
  • Model the B2B2C dynamic - agency → sub-account activation and expansion - and surface where value is created or lost
  • Partner with the Experimentation & Causal Inference lead to design and read growth experiments rigorously
  • Partner with the Product Strategy & Growth org on the TTP/churn and add-ons charters so definitions and models are shared
  • Set the technical direction for how customer growth is measured company-wide - own canonical metrics, segment definitions, and value model on governed data
  • Build the growth-measurement and causal-inference framework - standards and reusable methods for Analytics Engineering and adjacent DS teams
  • Translate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders; influence roadmap and investment
  • Act as a trusted analytical advisor to Growth, GTM, and Finance leaders, setting analytical standards for DS and analysts
  • Flag data gaps to Analytics Engineering and shape the event taxonomy the funnel and value model depend on
  • Use AI tooling (Claude and similar) to move faster on exploration, documentation, and analysis

Qualifications

  • 9+ years in product/growth analytics, data science, or applied statistics, with deep experience across activation, retention, conversion, and expansion motions
  • Track record of building a metric or value framework that multiple teams drive real outcomes
  • Strong applied statistics and ability to design analyses for causal questions
  • Fluency partnering on experiments (A/B design, power, guardrails) and interpreting results honestly
  • 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 product, growth, or GTM decisions
  • Comfort with imperfect, in-progress data and ability to raise the bar without rebuilding pipelines
  • Cross-functional influence - aligning Growth, GTM, Finance, and product leaders on shared numbers without direct authority

Skills

Required:SQLPythonExperiment design and causal inferenceData modeling and metrics governance

Benefits

  • EEO and privacy-friendly hiring policies are noted in description
Last updated Oct 21, 2026. Interested? Apply on the company site.

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