Senior/Staff Data Scientist, Core Product

About the position

Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. This is a data science role based in our Palo Alto headquarters. At Glean, data scientists collaborate with engineering, product management and design to 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. You’d be embedded within a specific set of products in Glean’s large offering of search and generative AI products. These products aim to make Glean mission critical for the knowledge worker (i.e. the user) and the firm she works at (i.e. the customer). You’d explore how Glean’s search and generative AI products should intersect. You’d 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. You’d explore how unstructured data in documents, structured data and data outside of an organization should come together. You’d look into the knowledge worker as a potential creator of generative AI experiences for others around her, rather than a mere consumer of these experiences. You’d explore knowledge workers in specific job function verticals like engineering and support. You’d think about empowering Glean’s customers to reign in the proliferated set of AI agents around them for maximum value, whether or not they are created by Glean. At the intersection of all these domains is using product analytics to enhance a user and customer’s experience. Combined with enterprise-grade & highly performant AI, which’d be delivered by sister teams, such magical experience is the prerequisite for making Glean grow into over 1B knowledge workers out there.

Responsibilities

• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards.
• Measure the performance of AI-powered assistant products for knowledge workers.
• Identify opportunities to improve KPIs and influence cross-functional teams.
• Create and maintain quantitative frameworks and methodologies.
• Bring more rigor into experiment analyses.
• Use statistical modeling to identify leading indicators of user growth and engagement.
• Explore intersections of Glean’s search and generative AI products.
• Investigate different product modalities like web, mobile, and desktop apps.
• Analyze how unstructured and structured data should come together.
• Empower knowledge workers to create generative AI experiences.

Requirements

• Bachelors/Masters/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field.
• 5+ years of industry experience as a data scientist (2 years for PhD holders).
• Strong business sense and ability to define product KPIs/guardrail metrics.
• Familiarity with BI visualization tools such as Sigma, Metabase, Tableau or Looker.
• Proficiency in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).
• Proficiency in Python.
• Experience in writing source-controlled code for data-oriented decision making.
• Strong statistics skills with experience in A/B testing and non-experimental methods.
• Concise and precise in written and verbal communication.

Nice-to-haves

• Experience in B2B SaaS, especially in the enterprise AI space.
• Strong sense of ownership and self-motivation.
• Ability to manage evolving priorities while delivering core initiatives.
• Experience working with collaborators across large time zone differences.

Benefits

• Competitive compensation
• Medical, Vision and Dental coverage
• Flexible work environment and time-off policy
• 401k
• Company events
• Home office improvement stipend when you first join
• Annual education stipend
• Wellness stipend
• Healthy lunches and dinners provided daily