Glean is seeking a Data Scientist to join their Data Organization to enhance their AI-powered knowledge management platform. The goal is to improve product analytics, user experience, and drive growth by leveraging data to optimize search and generative AI products for knowledge workers and their organizations.
Requirements
- Proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).
- Proficient in Python.
- Experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.
- Strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods.
- Familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker.
- Experience in B2B SaaS, especially in the enterprise AI space.
- Experience working with collaborators across large time zone differences.
Responsibilities
- Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.
- Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.
- Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement.
- Explore how Glean’s search and generative AI products should intersect.
- Explore different product modalities like web, mobile and desktop apps, as well as experiences where Glean’s embedded into other products like an internal portal or another B2B SaaS product like Slack.
- Explore how unstructured data in documents, structured data and data outside of an organization should come together.
- Explore knowledge workers in specific job function verticals like engineering and support.
Other
- You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.
- You have 5+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 2 years.
- You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.
- You are concise and precise in written and verbal communication. Technical documentation is your strong suit.
- You have a very strong sense of ownership and self-motivation. You are laser focused on delivering business impact while growing as an individual along with Glean.
- You are good at managing evolving priorities while bringing core initiatives to a success.
