Growth Data Scientist - Hybrid (MV)

Socket.dev; Mountain View (CA); Hybrid; USD 200,000 - 260,000; Full time

Benefits offered by this job

Home office improvement stipend

Annual education stipend

Wellness stipend

Health insurance

Lunches provided daily

401k plan

Job summary

Glean is seeking a Growth Data Scientist to partner with Growth Product, Engineering, Design, and Product Marketing. You will turn ambiguous growth opportunities into measurable bets, build measurement systems, and use behavioral data to drive substantial value for users.

You will define growth KPIs, design experiments, and develop reusable datasets and dashboards to enable the product team to understand health and impact. Hybrid Mountain View role with AI-first initiatives.

Qualifications

• 7+ years in quantitative data science, product analytics, or growth analytics.
• Experience designing product experiments and translating findings into decisions.
• Strong SQL and Python or R proficiency.

Responsibilities

• Define and evolve growth measurement framework across funnel stages including WAU and activation.
• Build end-to-end user/account funnels to identify value and drop-off points.
• Identify high-leverage opportunities across onboarding, discovery, and lifecycle messaging.
• Partner with Product/Engineering to turn ideas into testable hypotheses and instrumentation plans.
• Design and analyze A/B tests and quasi-experiments to guide product direction.
• Develop segments and translate insights into targeted interventions.
• Quantify reachable populations and impact for roadmap decisions.
• Build dashboards and self-serve analytics for product health.
• Lead cross-functional data science projects end-to-end.

Skills

SQL

Python or R

Experimentation

Causal inference

Growth analytics

Product analytics

Data storytelling

AI fluency

Cross-functional collaboration

Education

Statistics/Mathematics/CS degree

Master's preferred

Tools

dbt

Job description

Glean is seeking a Growth Data Scientist to partner with Growth Product, Engineering, Design, and Product Marketing. You will turn ambiguous growth opportunities into measurable bets, build measurement systems, and use behavioral data to drive substantial value for users.

You will define growth KPIs, design experiments, and develop reusable datasets and dashboards to enable the product team to understand health and impact. Hybrid Mountain View role with AI-first initiatives.