Senior Data Scientist Core Product
Senior Data Scientist Core Product
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Job Description
About Glean
Were on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future everyone will work in tandem with expert AI assistants who find knowledge create and synthesize information and execute work. These assistants will free people up to focus on the higherlevel creative aspects of their work
Were building a system of intelligence for every company in the world. On the surface you can think of it as Google ChatGPT for the enterprise. Under the hood our platform is the connective tissue between AI and knowledge. It brings all of a companys knowledge together understands it at a deep level provides industryleading search relevance over it and connects it to generative AI agents and applications
Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. Were a diverse team of curious and creative people who want to help each other get big things doneso we can help other teams do the same.
Were backed by some of the Valleys leading venture capitalistsincluding Sequoia Kleiner Perkins Lightspeed and General Catalystand have assembled a worldclass team with senior leadership experience at Google Slack Facebook Dropbox Rubrik Uber Intercom Pinterest Palantir and others.
About the role
Glean is building a worldclass Data Organization composed of data science applied science data engineering and business intelligence groups. This is a data science role based in our Bangalore R&D.
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 AIpowered 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.
Youd be embedded within a specific set of products in Gleans 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).
Youd explore how Gleans search and generative AI products should intersect. Youd explore different product modalities like web mobile and desktop apps as well as experiences where Gleans embedded into other products like an internal portal or another B2B SaaS product like Slack. Youd explore how unstructured data in documents structured data and data outside of an organization should come together. Youd 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. Youd explore knowledge workers in specific job function verticals like engineering and support. Youd think about empowering Gleans 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 customers experience. Combined with enterprisegrade & highly performant AI whichd be delivered by sister teams such magical experience is the prerequisite for making Glean grow into over 1B knowledge workers out there.
Minimum qualifications:
- You have a Bachelors/Masters/PhD degree in Statistics Mathematics or Computer Science or another quantitative field.
- You have 6 years of industry experience as a data scientist. For PhD degree holders the minimum years of required experience as a data scientist is 2 years.
- You have strong business sense and are strong at defining good product KPIs/guardrail metrics dashboarding and analysis of raw data to derive strategic insights.
- You are familiar with BI visualization tools such as Sigma Metabase Tableau or Looker.
- You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).
- You are proficient in Python.
- You have experience in writing sourcecontrolled code for pipelines and internal tools for dataoriented decision making.
- You are strong at statistics. You have experience in applying these skills into tangible improvements in products internal tools and processes using A/B testing and nonexperimental methods.
- You are concise and precise in written and verbal communication. Technical documentation is your strong suit.
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 selfmotivation. You are laser focused on delivering business impact while growing as an individual along with Glean.
- You are good at managing evolving priorities while bringing core initiatives to a success.
- You have experience working with collaborators across large time zone differences.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were 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.
Required Experience:
Senior IC
Employment Type
Full Time
