Senior Data Scientist, Growth

Responsibilities

• Define and evolve Glean’s growth measurement framework across acquisition, activation, engagement, retention, resurrection, and expansion.
• Own core metrics including WAU, activation, engagement intensity, retention, and feature adoption.
• Build and analyze end-to-end user and account funnels to identify where users realize value, where they drop off, and which behaviors predict durable engagement.
• Identify and size high-leverage opportunities across onboarding, product discoverability, education, lifecycle messaging, collaboration and virality, and new product surfaces.
• Partner with Product, Design, and Engineering to turn product ideas into testable hypotheses, success metrics, instrumentation plans, and decision criteria.
• Design and analyze A/B tests, phased rollouts, and quasi-experiments; apply causal inference to recommend whether products should launch, iterate, or change direction.
• Develop behavioral and needs-based segments and translate insights into targeted product interventions.
• Inform roadmap and investment decisions by quantifying reachable populations, expected impact, confidence, dependencies, and tradeoffs.
• Build trusted, reusable growth datasets, dashboards, metrics, and self-serve analytical tools.
• Lead cross-functional data science projects end-to-end, from ambiguous product questions to insights, recommendations, and decisions.

Requirements

• 7+ years of experience in quantitative data science, product analytics, or growth analytics.
• Degree in Statistics, Mathematics, Computer Science, or a related field.
• Strong grounding in statistics, experimentation, causal inference, statistical power, segmentation, funnel analysis, and retention analysis.
• Experience designing and analyzing product experiments and translating causal findings into product decisions.
• Strong proficiency in SQL and practical fluency in Python or R.
• Experience building durable analytical datasets, metrics, dashboards, and data models; dbt experience is a plus.
• Ability to partner with Product and Engineering teams to identify opportunities and influence roadmap decisions.
• High proficiency with AI and LLMs, including rigorous validation and sound judgment about their application.
• Strong product and business mindset, including experience defining KPIs, guardrail metrics, and measurement frameworks.
• Ability to own complex projects end-to-end, from problem framing and measurement through analysis, recommendation, and follow-through.
• Clear, concise communication skills for technical and non-technical audiences.

Nice-to-haves

• Experience in B2B SaaS, especially enterprise AI, or with products adopted across users and accounts.
• Experience identifying growth opportunities from behavioral data and turning them into shipped, measurable product improvements.
• Experience building experimentation or product-measurement capabilities that improve organizational decision-making.
• Strong product intuition and comfort making recommendations in ambiguous environments.
• Strong ownership, self-motivation, and focus on business impact.
• Ability to manage changing priorities while delivering core initiatives.

Compensation & Benefits

• Base salary range: $200,000–$260,000 annually.
• Eligibility for variable compensation, equity, and benefits may apply.
• Medical, vision, and dental coverage.
• Generous paid time off.
• 401(k) plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and healthy lunches daily.