Senior/Staff Applied Scientist

Join Glean, a leading data organization focused on product data science, applied science, data engineering, and business intelligence. As a Senior/Staff Applied Scientist, you will collaborate with product data science and engineering teams to improve online A/B experimentation, develop and maintain our A/B experimentation platform, and conduct end-to-end evaluations of various use cases. You will also design, develop, and own best practices, tools, and processes across various evaluation problems. The ideal candidate has 5+ years of experience, a strong background in statistics and machine learning, and proficiency in Python and SQL.

• 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 based on stakeholder feedback, and deploy these techniques to production in a scalable manner.
• Conduct end to end evaluation of various hero use cases, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results.

• 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 have experience working on ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems
• You have experience in B2B SaaS
• You are proficient in SQL and the modern data stack (e.g. source-controlled dbt pipelines for ETL/ELT)
• You are passionate about using AI to improve the productivity of data teams as well as non-data professionals trying to derive more value of their company’s data
• You have 5+ years of experience as a Masters degree holder, 3+ as a PhD degree holders (Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field)
• You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools, and processes in a pragmatic way that puts business urgencies first
• You are very proficient in Python, e.g. proficient enough to maintain an internal source-controlled library used by dozens of others