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Glean Posted 30+ days ago

Senior Data Scientist, Growth

Location

San Francisco

Contract

Permanent

Full-time

Salary

$200–260k

Gross per year

Experience

7+ years

Senior level

Job summary

Responsibilities

Glean is building a world-class data organization spanning data science, applied science, data engineering, and business analytics. This role sits within the Growth and Enterprise Readiness Data Science team, with a primary focus on accelerating user adoption, engagement, and sustained product…

  • Define and evolve Glean’s growth measurement framework across acquisition, activation, engagement, retention, resurrection, and expansion, including metrics such as WAU…
  • Build and analyze end-to-end user and account growth funnels to understand where users experience value, where they drop off, and which behaviors are most predictive of durable…
  • Diagnose adoption gaps and develop bottoms-up growth strategies for high-impact enterprise accounts, identifying where product, deployment, engagement, or organizational barriers…
  • Identify and size high-leverage growth opportunities across onboarding, product discoverability, education, lifecycle messaging, collaboration and virality, and new product…
  • Partner across R&D and Applied AI to turn product capabilities and behavioral insights into scalable adoption plays, identifying the customers and user populations best suited…

What they're looking for

  • 7+ years of experience in a highly quantitative data science, product analytics, or growth analytics role, with a degree in Statistics, Mathematics, Computer Science, or a…
  • Demonstrated experience partnering with Product and Engineering teams to identify opportunities and influence product roadmap decisions
  • Strong grounding in statistics, experimentation, causal inference, statistical power, segmentation, funnel analysis, and retention analysis
  • Exceptionally high AI proficiency through habitual, high-value use of LLMs, with sound judgment about when and how to apply them, rigorous validation, and continuous workflow…
  • Experience designing and analyzing product experiments and communicating causal findings in a way that drives clear product decisions

Tech stack

Read the full job posting

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