Growth Data Scientist - Enterprise Analytics & Experiments

Gleanwork; Mountain View (CA); Hybrid; USD 200,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Vision coverage

Dental coverage

401(k) plan

Home office stipend

Education stipend

Wellness stipend

Free meals/lunches

Job summary

Glean is seeking a Growth Data Scientist to accelerate user adoption, engagement, and sustained product usage within its Growth and Enterprise Readiness Data Science team. You will partner with Growth Product, Engineering, Design, and Product Marketing to turn growth opportunities into measurable bets and to build the measurement systems needed for fast learning.

You will design experiments, analyze funnels, and translate behavioral data into concrete product interventions that scale adoption

Qualifications

• 7+ years of experience in quantitative data science, product analytics, or growth analytics.
• 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 Python or R.
• Experience building durable analytical datasets, metrics, dashboards, and data models—not 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.

Responsibilities

• Define growth measurement framework across acquisition, activation, engagement, retention, resurrection, and expansion; own WAU, activation, engagement, retention, and feature adoption.
• Build and analyze end-to-end user and account funnels to identify value realization, drop-offs, and predictors of durable engagement.
• Identify and size high-leverage opportunities across onboarding, product discovery, education, lifecycle messaging, collaboration and virality, and new product surfaces.
• Partner with Product, Design, and Engineering to turn product ideas into testable hypotheses, metrics, instrumentation, and decisions.
• Design and analyze A/B tests, phased rollouts, and quasi-experiments; apply causal inference to guide product decisions.
• Develop behavioral and needs-based segments and translate insights into targeted product interventions.
• Inform roadmap and investments by quantifying reachable populations, impact, confidence, dependencies, and tradeoffs.
• Build growth datasets, dashboards, metrics, and self-serve tools for product/engineering health.
• Lead cross-functional data science projects end-to-end from questions to insights and decisions.

Skills

SQL

Python

Statistics

Experimentation

Causal inference

Growth analytics

Dashboards

Product analytics

Education

Degree in Statistics, Mathematics, Computer Science, or related field

Tools

dbt

Job description

Glean is seeking a Growth Data Scientist to accelerate user adoption, engagement, and sustained product usage within its Growth and Enterprise Readiness Data Science team. You will partner with Growth Product, Engineering, Design, and Product Marketing to turn growth opportunities into measurable bets and to build the measurement systems needed for fast learning.

You will design experiments, analyze funnels, and translate behavioral data into concrete product interventions that scale adoption