Data Scientist

4 weeks ago

Palo Alto, California, United States Glean Full time
About Glean

We're on a mission to revolutionize the way companies harness knowledge and AI. Our team believes that AI will fundamentally transform the way people work, and we're building a system of intelligence that will make knowledge work faster and more humane.

Our platform brings all of a company's knowledge together, understands it at a deep level, provides industry-leading search relevance, and connects it to generative AI agents and applications.

We're a diverse team of curious and creative people who want to help each other get big things done, so we can help other teams do the same.

We're backed by some of the Valley's leading venture capitalists and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, LinkedIn, Stripe, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.

Role

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.

Data scientists collaborate with engineering, product management, and design to define and build data assets, 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.

This specific role will address one or more of the following business domains:

  • Define KPIs, create data foundations, build visualizations, and devise techniques to measure the efficacy of Glean's world-leading document indexing, retrieval, and ranking infrastructure, which powers its search and LLM-powered products.
  • Conduct rigorous empirical analyses and influence ML ENG & ENG to improve this infrastructure.
  • Collaborate with product management and product ENG teams to improve the way Glean measures interactions with its Search product, iterating on our KPIs, data foundations, dashboards, and measurement techniques accordingly.
  • Identify opportunities and influence ENG, design, and product management XFNs to improve the value-add of a user's experience with Search vis-a-vis other LLM-based and general knowledge management products Glean offers.
You Will Thrive at This Role If:
  • You have a Bachelor's/Master's/PhD degree in Statistics, Mathematics, or Computer Science, or another quantitative field.
  • You have 6+ years of industry experience (4+ for Master's degree holders, 3+ for PhD degree holders).
  • 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 are proficient in SQL and the modern data stack (e.g., dbt pipelines for ETL/ELT).
  • You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.
  • 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.
  • You are proficient in Python.
You Are a Particularly Good Fit If:
  • You have experience in B2B SaaS.
  • You have experience with remote work across large time zone differences.
  • You have experience working on ranking problems.
  • You are passionate about using AI to improve the productivity of data teams as well as non-data professionals trying to derive more value from their company's data.
Benefits
  • Competitive compensation.
  • Medical, Vision, and Dental coverage.
  • Flexible work environment and time-off policy.
  • 401k.
  • Company events.
  • A home office improvement stipend when you first join.
  • Annual education stipend.
  • Wellness stipend.
  • Healthy lunches and dinners provided daily.
For California-Based Applicants:

The standard base salary range for this position is $175,000 annually.

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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