Data Science Intern (Winter 2027)

Notion is the collaborative AI workspace where teams and agents think together. 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. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time.

Responsibilities

Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business; Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better); Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas; Create metrics and build dashboards to monitor the growth and health of Notion; Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making

Requirements

Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences; Must graduate before December 2027; This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time; Previous research or internship experience; Proficient in SQL for data extraction, transformation, and analysis; Working towards proficiency in one or more scripting languages such as Python or R; You find large challenges exciting and enjoy discovering problems as much as solving them; You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment; Thoughtful problem-solving; Put users first; Not ideological about technology; Empathetic communication; Team player; AI enthusiast

Nice to have

Previous intern experience working with product, engineering, or GTM teams; You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work; You have interests outside of technology, such as in art, history, or social sciences

Benefits

Equity; Benefits