Data Science Intern

Who you are

• 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: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck
• Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad
• Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go
• Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed
• Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same
• AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
• You 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
• We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply

What the job involves

• 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
• 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