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Job Overview

Glean is building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups.

Key points

  1. 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…

  2. Develop and maintain our A/B experimentation platform based on stakeholder feedback.

  3. Write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering…

  4. Conduct end to end evaluation of various hero use cases like document/URL uploads, including evaluation set generation…

  5. You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools…

  6. You are very proficient in Python, e.g. proficient enough to maintain an internal source-controlled library used by dozens of others.

  7. You are concise and precise in written and verbal communication. Technical documentation is your strong suit.

  8. You are proficient in SQL and the modern data stack (e.g. source-controlled dbt pipelines for ETL/ELT).

Skills

StatisticsMachine LearningLLMsPythonSQLGitData VisualizationETL

Experience: Senior-level · 5+ years

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