Workplace
On-site
Employment
Full-Time
Published
Aug 25, 2026
Closes
No date supplied
The role
WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: - You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making. - You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap. - You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work. - You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions. - You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!) SKILLS YOU'LL NEED TO BRING: - You are comfortable with ambiguity and motivated by business results. - You have expertise in SQL and at least one scripting language (ideally Python or R). - You know how to use statistical inference and experimentation to drive actionable recommendations. - You are
Requirements
Department: Data Science; Team: Data Science