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Senior Data Scientist, Growth

Glean· Data
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Hybrid (Mountain View, CA or San Francisco, CA)$200k - $260kFull-timePosted 2mo ago

About the role

Growth-focused data science role within Glean's Growth and Enterprise Readiness Data Science team, partnering with Growth Product, Engineering, and Applied AI to accelerate user adoption, engagement, and sustained product usage through measurement, experimentation, and behavioral insights.

Responsibilities

  • Define and evolve growth measurement framework across acquisition, activation, engagement, retention, resurrection, and expansion (e.g., WAU, activation, engagement intensity, retention, feature adoption)
  • Build and analyze end-to-end user and account growth funnels to understand value moments and drop-offs
  • Diagnose adoption gaps and develop bottoms-up growth strategies for high-impact enterprise accounts
  • Identify and size high-leverage growth opportunities across onboarding, product discoverability, education, lifecycle messaging, collaboration and virality, and new product surfaces
  • Partner with R&D and Applied AI to translate product capabilities and insights into scalable adoption plays
  • Collaborate with Product, Design, and Engineering to translate ideas into testable hypotheses, success metrics, instrumentation plans, and decision criteria
  • Design and analyze rigorous A/B tests, phased rollouts, and quasi-experiments to guide product direction
  • Develop behavioral and needs-based user segments for targeted interventions
  • Inform roadmap and investment decisions by quantifying reachable populations, impact, confidence, dependencies, and tradeoffs
  • Build reusable growth datasets, dashboards, and self-serve analytical tools for product and engineering
  • Lead cross-functional data science projects end-to-end, delivering insights and recommendations
  • Example focus areas include improving onboarding, converting occasional users to habitual users, increasing adoption of AI experiences, and building account-level adoption frameworks
  • Lead efforts to translate new product capabilities into scalable Applied AI adoption motions

Qualifications

  • 7+ years in a quantitatively focused data science, product analytics, or growth analytics role
  • Degree in Statistics, Mathematics, Computer Science, or related field
  • Experience partnering with Product and Engineering to influence roadmaps
  • Strong grounding in statistics, experimentation, causal inference, segmentation, funnel, and retention analysis
  • High proficiency with LLMs and validated use of AI in workflows
  • Experience designing and analyzing product experiments and communicating causal findings to drive decisions
  • Strong SQL proficiency and practical use of Python or R
  • Experience building durable analytical datasets, metrics, dashboards, and data models (dbt a plus)
  • Product and business mindset with KPI and measurement framework development
  • Ability to own complex projects end-to-end and communicate findings clearly

Skills

Required:Growth measurementSQLPython or R

Benefits

  • Medical, Vision, and Dental coverage
  • Generous time-off policy
  • 401k plan with employer contributions
  • Home office improvement stipend
  • Annual education and wellness stipends
  • Regular team events and healthy lunches
  • Diversity and inclusion commitments
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Glean

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