Glean

Data Scientist

Job description

About Glean

Finding the right information, teammate, or insights to get things done at work doesn’t have to be that hard.

Glean is on a mission to bring people the knowledge they need to make a difference in the world. We're passionate about helping people answer workplace questions faster with less frustration and wasted time.

Founded in 2019, Glean is a Series B company backed by some of the Valley's leading venture capitalists, including Kleiner Perkins, Lightspeed, and General Catalyst. Join a world-class team with senior leadership experience at Google, Facebook, Dropbox, Evernote, Rubrik, Uber, Intercom, Pinterest, Palantir, among others.

Role

Glean has a strong data driven culture, and we are looking to hire Data Scientists to own/grow our metrics story, bring statistical rigor to decision making and empower other functions like engineering, product, design, sales etc with insights gained from analyzing data. The ideal candidate must be strong at analyzing large volumes of data, and slicing and dicing it in different ways to find opportunities for our product and search relevance. They must have experience building and owning data pipelines and dashboards. They must be comfortable working with a large variety of functions across the company.


What you will do and achieve

  • Own overall product and search metrics -- definition, implementation, and insight generation
  • Build and own data pipelines and dashboards
  • Partner with the product team to drive strategy and build understanding of our users
  • Partner with the search ranking team to refine and improve search evaluation and decision making processes
  • Mine and analyze user data to identify opportunities and drive improvements to the product as well as core search.
  • Develop experimentation frameworks to facilitate iterations over the product as well as search ranking.

Who you are

  • Masters/PHD in Statistics, Mathematics or Computer Science, or another quantitative field.
  • 3+ years of experience as a data scientist or data analyst.
  • 2+ years of experience programming for data analysis -- ideally python, SQL and/or R.

Key Knowledge & Skills

  • Have a strong data oriented mindset and brings that culture to the team
  • Strong at delving into data to find insights/patterns.
  • Strong understanding of statistics: Bring statistical rigor to experiments, search eval and metrics.
  • Strong problem solving skills with an emphasis on product development.
  • Adept at writing SQL queries
  • Know how to write python pipelines for data analysis
  • Experience with search product analysis is a plus

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