Senior Data Scientist, Growth

About the Role:

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 usage.

As a Growth Data Scientist you will be the quantitative partner to Growth Product Engineering Design and Product Marketing. Youll turn ambiguous growth opportunities into measurable product bets build the measurement and experimentation systems that allow us to learn quickly and use behavioral data to identify where Glean can create substantially more value for its users.

You will:

• Define and evolve Gleans growth measurement framework across acquisition activation engagement retention resurrection and expansion. Own core metrics such as 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 clear 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 before significant development begins.
• Build trusted reusable growth datasets dashboards metrics and self-serve analytical tools so Product and Engineering can independently understand product health and investigate changes.
• Lead cross-functional data science projects end-to-endfrom ambiguous product questions to clear insights recommendations and decisions for audiences ranging from engineers to executives.

Example areas of focus include improving new-user onboarding and activation converting occasional users into habitual users increasing adoption of emerging AI experiences optimizing high-traffic entry surfaces improving feature discovery developing lifecycle strategies and building account-level adoption frameworks for enterprise customers.

About you:

• 7 years of experience in quantitative data science product analytics or growth analytics plus a 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.
• Demonstrated experience designing and analyzing product experiments and translating causal findings into clear product decisions.
• Strong proficiency in SQL and practical fluency in Python or R.
• Experience building durable analytical datasets metrics dashboards and data modelsnot relying primarily on ad hoc analysis. dbt experience is a plus.
• Demonstrated ability to partner with Product and Engineering teams to identify opportunities and influence roadmap decisions.
• 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 improvement.
• A strong product and business mindset including experience defining KPIs guardrail metrics and measurement frameworks that influence decisions.
• Ability to independently own complex projects end-to-end from problem framing and measurement through analysis recommendation and follow-through.
• Clear concise communication skills with the ability to explain complex quantitative findings to both technical and non-technical audiences.

You are particularly a good fit if you:

• Have experience in B2B SaaS especially enterprise AI or with products adopted across both users and accounts.
• Have identified growth opportunities from behavioral data and turned them into shipped measurable product improvements.
• Have built experimentation or product-measurement capabilities that improved the speed and quality of organizational decision-making.
• Combine quantitative rigor with strong product intuition and are comfortable making recommendations in ambiguous environments.
• Bring strong ownership and self-motivation with a focus on business impact and continuous growth.
• Manage changing priorities while consistently delivering core initiatives.

Location:

• This role is hybrid (4 days a week in our San Francisco office)

Compensation & Benefits:

The standard base salary range for this position is $200000 - $260000 annually. Compensation offered will be determined by factors such as location level job-related knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.

We offer a comprehensive benefits package including competitive compensation Medical Vision and Dental coverage generous time-off policy and the opportunity to contribute to your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.

Were committed to building and sustaining a diverse inclusive workplace. We strive to attract and retain people with a wide range of backgrounds experiences and perspectives and we do not discriminate on the basis of gender ethnicity sexual orientation religion civil or family status age disability or race.

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