Data Scientist, Core Product

You will:

• 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. Glean Data science takes pride in spear-heading logging improvements to improve our nascent product telemetry, has deep craft in data modeling to make it easy to build several data products based on the same accurate source of truth, and builds effective visualizations to make cross-functional partners self-serve with their analytics. 
• Once you establish resilient measurement foundations, selectively invest your time in a subset of your large product scope to identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps. As you do that, you’ll create and maintain further quantitative frameworks and methodologies, e.g. bring more rigor into quantitative assessment of product-market-fit.
• You’d be expected to work on a subset of the following domains most actively developed in our IND office
  • Actions: Enabling Glean to get things done for users rather than answer questions, e.g. writing emails, writing to systems of context, shipping code.
  • Structured Data: Enabling Glean to specialize further in data analysis.
  • Agents: Enabling customers to build highly polished complex agents to solve top priority business problems with departmental/company-wide importance.
  • Glean in 3rd party surfaces like Slack.

About you:

• Minimum qualifications:
  • Minimum 4 years of experience in a highly quantitative data science role, with a degree in Statistics, Mathematics, Computer Science, or a related field
  • Strong proficiency in SQL and Python, and experience working with modern data stacks (e.g., dbt, analytics engineering pipelines)
  • Experience analyzing nascent, complex datasets and translating them into clear, actionable insights
  • A strong product and business mindset, with experience defining KPIs, guardrail metrics, and dashboards that influence decisions
  • Solid grounding in statistics, including experimentation and non-experimental methods
  • Ability to independently own projects end-to-end, from problem framing to delivery
  • Clear, concise communication skills, with the ability to explain complex analyses to both technical and non-technical audiences
• You are a particularly good fit if:
  • You have experience in B2B SaaS, especially in the enterprise AI space.
  • 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 successfully delivering core initiatives. 
  • You have experience working with collaborators across large time zone differences.

Location:

• This role is hybrid (4 days a week in our Bangalore office)

Compensation & Benefits:

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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