Hiring: Senior Data Scientist, Growth Company: Glean Location: Mountain View, CA Job Posted Time: 2026-09-10 12:58:44 Employment Type: Hybrid Target Skills & Keywords : Embedded Systems, GDPR, GitHub, LLM, Python, R, SQL, SaaS, ServiceNow, User Experience, Zendesk, Zoom, dbt About the job Experience: •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 related field Required Skills: •Define and evolve Glean’s growth measurement framework across acquisition, activation, engagement, retention, resurrection, and expansion, including metrics such as WAU, activation, engagement intensity, retention, and feature adoption •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 engagement •Diagnose adoption gaps and develop bottoms-up growth strategies for high-impact enterprise accounts, identifying where product, deployment, engagement, or organizational barriers are limiting growth and partnering with Applied AI and R&D leaders on targeted interventions. •Identify and size high-leverage growth opportunities across onboarding, product discoverability, education, lifecycle messaging, collaboration and virality, and new product surfaces •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 for new experiences and translating those opportunities into targeted field interventions. •Partner closely with Product, Design, and Engineering to translate product ideas into testable hypotheses, well-defined success metrics, instrumentation plans, and decision criteria •Design and analyze rigorous A/B tests, phased rollouts, and quasi-experiments; use causal evidence to recommend whether products should launch, iterate, or change direction •Develop behavioral and needs-based user segments and translate those insights into targeted product interventions Compensation: •$200,000 - $260,000 / year •Competitive benefits and rewards package •Certain roles may be eligible for variable compensation, equity, and benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!