Senior Data Scientist, Growth

Glean
San Francisco, Mountain View
Workplace: HybridFull timeUSD 200,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Communication","Ownership","Self-motivation","Product mindset","Independent problem-solving","Cross-functional collaboration"]

Own growth measurement and experimentation for Glean’s product adoption. You’ll define acquisition-to-expansion metrics (e.g., WAU, activation, retention), build and analyze funnels, and identify high-leverage opportunities across onboarding, discoverability, lifecycle messaging, and engagement. Partner with Growth product, engineering, design, and marketing to translate hypotheses into instrumentation plans and causal A/B tests, plus reusable datasets, dashboards, and decision tools that help teams move quickly with confidence.

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Glean
Glean
1 day ago

Senior Data Scientist, Growth

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own growth measurement and experimentation for Glean’s product adoption. You’ll define acquisition-to-expansion metrics (e.g., WAU, activation, retention), build and analyze funnels, and identify high-leverage opportunities across onboarding, discoverability, lifecycle messaging, and engagement. Partner with Growth product, engineering, design, and marketing to translate hypotheses into instrumentation plans and causal A/B tests, plus reusable datasets, dashboards, and decision tools that help teams move quickly with confidence.
Location: San Francisco, Mountain View
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Define and evolve growth measurement frameworks across acquisition, activation, engagement, retention, resurrection, and expansion, owning core metrics like WAU and retention.
  • •Build and analyze end-to-end funnels to find value realization, drop-off points, and behaviors predicting durable engagement.
  • •Identify and size high-leverage growth opportunities across onboarding, discoverability, education, lifecycle messaging, collaboration/virality, and new surfaces.
  • •Partner with Product, Design, and Engineering to craft testable hypotheses, success metrics, instrumentation plans, and decision criteria.
  • •Design and analyze A/B tests, phased rollouts, and quasi-experiments using causal inference; develop segments and translate insights into targeted interventions.

Pay and Benefits

Salary: USD 200,000 - 260,000 annually
Perks:Health InsuranceVisionDental401k

Key Requirements

  • •7+ years in quantitative data science, product analytics, or growth analytics, with a degree in Statistics, Mathematics, Computer Science, or related field.
  • •Strong statistics and experimentation skills, including causal inference, statistical power, segmentation, funnel analysis, and retention analysis.
  • •Experience designing and analyzing product experiments and translating causal findings into clear product decisions.
  • •Strong SQL proficiency and fluency in Python or R; experience with dbt is a plus.
  • •Ability to independently own end-to-end projects and communicate complex quantitative findings to technical and non-technical audiences.
Experience:7+ yearsB2B SaaSEnterprise AIProduct analyticsGrowth analyticsExperimentationCausal inference
Education:
Skills:CommunicationOwnershipSelf-motivationProduct mindsetIndependent problem-solvingCross-functional collaboration
Languages:English
Tech Stack:SQLPythonRDbtLLMs

Company Brief

Glean
Provides an enterprise search and knowledge discovery platform that helps organizations find information across apps, drives, and internal tools, improving employee productivity and onboarding through AI-powered search and relevance ranking.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn