Data Scientist

About Glean

We’re on a mission to bring people the knowledge they need to make a difference in the world. 

Glean was founded by a seasoned team of former Google search and Facebook engineers, who wondered why we don’t have an easier way of finding what we need at work. In our personal lives, we have tools to help us find pretty much whatever we need. Why don’t we have that at work? And that was the beginning of Glean.

Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know. 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 Silicon Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.

Role

Glean is building a world-class data science org. This is an early-hire, full-stack and hands-on data scientist role spanning product analytics, applied science and building data foundations. 

What you will do and achieve

• Analytics:  
• You’ll refine and measure to improve KPIs for a wide range of knowledge work products like search, generative AI experiences, knowledge management and workplace productivity.
• You’ll help measure and improve the efficiency of our ranking and overall infrastructure. 
• You’ll define, measure and improve the effectiveness of our marketing initiatives to generate more and better sales leads. You’ll equip sales teams with quantitative insights to close more and bigger deals. You’ll help customer success teams measure and improve how they roll out Glean into customer firms faster, with more adoption and greater partner satisfaction.
• Applied science:
• You’ll build tools, techniques and processes to improve the way A/B experimentation is done across the company
• You’ll improve tools, techniques and processes in the measurement of the efficacy of ML models used in ranking and various generative-AI products.
• You’ll execute on new opportunities to introduce more statistical sophistication into other decision making across the company, e.g. metric forecasting for improved KPI targets, predictive models for more proactive user churn prevention, sophisticated metric alerting systems.
• Data foundations:
• Improve the logging for our products to facilitate improved analytics and applied science techniques
• Build pipelines based on these logs to empower the analytics and applied science applications.

You’ll have lots of technical learning opportunities across product analytics, applied science and data foundation building in a fast-growing startup with seasoned colleagues. You’ll also receive plenty of mentorship on cross-functional collaboration, influence & leadership and career growth. You’ll be able to make an outsized impact on Glean’s data science culture.

Who you are

• You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field
  • You have 3+ years of industry experience (1+ for Masters degree holders, 1+ for PhD degree holders) with demonstrated 
  • strong work ethic and evangelism about Glean’s vision for improving knowledge work
  • ability to bring projects/tasks to fast closure while maintaining high quality execution
  • curiosity & ability to learn new skills/tools/business context fast. Turning these learnings into increased independence & scope
  • ability to communicate very effectively with collaborators with very different roles
  • You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive insights
  • You are proficient in SQL and the modern data stack (e.g. dbt for analytics engineering / pipelining, Fivetran and Census for ETL/ELT) 
  • You are proficient in Python. 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.

Bonus skills and attributes

• You have experience in B2B SaaS
• You have experience in similar products on ranking, generative AI and knowledge work.

• Competitive compensation
• Healthcare
• Flexible work environment
• 401k
• Unlimited PTO
• Transparent culture
• Learning and development opportunities
• Company events
• Free meals

For California based applicants: 

The standard base salary range for this position is $105,000 - $156,000 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.