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Senior/Staff Applied Scientist

Glean· Data
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Hybrid (Mountain View or San Francisco)$180k - $330kfull-timePosted 2w ago

About the role

Senior/Staff Applied Scientist role at Glean focused on building and evaluating online A/B experimentation platforms, advancing measurement and ML techniques for product optimization, and enabling data-driven decision making across product domains.

Responsibilities

  • - Collaborate with product data science and engineering teams to identify techniques, tooling and process improvements in online A/B experimentation to assist rigorous decision making across all relevant product domains.
  • - Develop and maintain our A/B experimentation platform based on stakeholder feedback
  • - Write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management and design teams
  • - Conduct end to end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results.
  • - Break down end to end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design.
  • - Design, develop and own best practices, tools and processes across various evaluation problems, e.g. query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, industry benchmarking.

Qualifications

  • - 5+ years of experience as a Masters degree holder, 3+ as a PhD degree holder (Masters/PhD in Statistics, Mathematics or Computer Science, or another quantitative field)
  • - Strong in statistics and/or machine learning with pragmatic product impact
  • - Proficient in Python (maintain an internal source-controlled library used by dozens of others)
  • - Concise and precise written and verbal communication; strong technical documentation
  • - Proficient in SQL and the modern data stack (e.g. source-controlled dbt pipelines for ETL/ELT)
  • - Ability to define good product KPIs/guardrail metrics, dashboarding and analysis of raw data for strategic insights
  • - Experience in B2B SaaS
  • - Experience working on ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems
  • - Passion for using AI to improve productivity of data teams and non-data professionals.

Skills

Required:A/B experimentationPythonSQLStatistics / ML

Benefits

  • Medical, Vision, and Dental coverage
  • generous time-off policy
  • 401k plan with employer contributions
  • home office improvement stipend
  • annual education and wellness stipends
  • regular company events and healthy lunches
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Glean

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