• You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field
• You have 4+ years of industry experience (3+ for Masters degree holders, 2+ for PhD degree holders)
• You are concise and precise in written and verbal communication. Technical documentation is your strong suit
• You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights
• You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT)
• You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making
• You are proficient in Python

Desirable

• At Glean, data scientists collaborate with engineering, product management and design to:
• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers
• Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps
• Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user churn & retention
• Accelerating Glean’s adoption, expansion, and usage intensity across all the product surfaces and customer lifecycles by using data to identify, implement and measure the effectiveness of product-led user growth strategies
• Build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the efficacy of generative AI products executing workflows on behalf of end users, instead of just answering questions and helping them find what they need
• These workflows will range from simple to multi-step complex workflows, and will pave the way for AI Agent capabilities that will enable end-users to provide their needs in natural language and achieve those tasks via LLM-powered chain of autonomous execution