# Senior Data Scientist, Growth

**Company:** [Glean](https://hotfix.jobs/companies/glean)
**Location:** San Francisco, CA, Mountain View, CA
**Role:** Data Science
**Salary:** $200k – $260k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, R, Statistics, A/B Testing, Causal Inference, statistical power, segmentation, funnel analysis, retention analysis, Product Analytics, growth analytics, dbt, LLMs, Data Modeling
**Posted:** 2026-08-14

> Leads quantitative analysis for product growth, focusing on user adoption, engagement, retention, experimentation, and enterprise account expansion. Partners with Product, Engineering, Design, and Marketing to define metrics, identify opportunities, and turn behavioral insights into measurable product decisions.

## Job Description

## 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.

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