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Glean is building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups. This is an applied science role based in our Palo Alto or San Francisco office.
Job Responsibility:
Collaborate with product data science and engineering teams to identify techniques, tooling and process improvements in online A/B experimentation
Develop and maintain our A/B experimentation platform
Write code or identify vendors to deploy these techniques to production
End to end evaluation of various hero use cases like document/URL uploads
Breaking down end to end evaluations into more granular evaluation of various tasks & skills
Design, development and ownership of best practices, tools and processes across various evaluation problems
Requirements:
5+ years of experience as a Masters degree holder
3+ years as a PhD degree holders (Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field)
Strong in statistics and/or machine learning
Experience in applying these skills into tangible improvements in products, internal tools, and processes
Very proficient in Python
Concise and precise in written and verbal communication
Proficient in SQL and the modern data stack
Strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights
Experience in B2B SaaS
Experience working on ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems
Passionate about using AI to improve the productivity of data teams as well as non-data professionals