Senior Data Scientist and AI Strategist

3 days ago


Palo Alto, California, United States Glean Full time
About Glean

We're on a mission to transform the way people work with knowledge. Our platform brings together AI and knowledge to provide industry-leading search relevance and generative AI experiences.

Role Overview

This is a data science role based in our Palo Alto headquarters, where you'll collaborate with engineering, product management, and design teams to define and build data assets that measure the performance of AI-powered assistant products for knowledge workers.

  • You'd be embedded within a specific set of products in Glean's large offering of search and generative AI products, aiming to make Glean mission critical for knowledge workers and their firms.
  • You'd explore how Glean's search and generative AI products should intersect and intersect with other experiences like internal portals or B2B SaaS products.
Key Responsibilities
  1. Define and build data assets, e.g., KPI definitions, data pipelines, and dashboards, to measure the performance of AI-powered assistant products.
  2. Identify opportunities to improve these KPIs and influence cross-functional teams to incorporate associated changes into their roadmaps.
  3. Create and maintain quantitative frameworks and methodologies, e.g., bring more rigor into experiment analyses and use statistical modeling to identify leading indicators of user growth and engagement.
Requirements
  • Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field.
  • 5+ years of industry experience as a data scientist; 2 years of experience for PhD holders.
  • Strong business sense and ability to define good product KPIs/guardrail metrics, dashboarding, and analysis of raw data to derive strategic insights.
  • Familiarity with BI visualization tools like Sigma, Metabase, Tableau, or Looker.
  • Proficiency in SQL and the modern data stack (e.g., dbt pipelines for ETL/ELT).
  • Proficient in Python and experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.
Salary and Benefits

The standard base salary range for this position is $175,000 - $250,000 annually. Compensation will be determined by factors such as location, level, job-related knowledge, skills, and experience. We offer a competitive compensation package, medical, vision, and dental coverage, flexible work environment, 401k, company events, home office improvement stipend, annual education stipend, wellness stipend, and healthy lunches and dinners provided daily.



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