Our goal is to create an environment where you can showcase your strengths. We hope this guide and our Interview Homepage will eliminate any surprises and help you present your best self during your interviews. If you have any questions, please reach out to your Recruiter!

We want to get to know you and your experience, what you're looking for in your next role, and to tell you about what we're working on at Notion now and in the future. We want to make sure there's mutually a good fit.

An interview with the manager of the Data Science team. You'll talk through previous technical projects, going deep into details about the decisions you made as you built it. Think about some of the projects you've worked on in the past that you're most proud of. The tactics & methods you've used in the past for statistical analysis will be relevant to the situational problem we ask.

SQL Technical Exercise

For this exercise, you'll use SQL to answer three questions about a fake software product and send us back your thoughts over email. You can use your preferred tools for exploring a data set. We've found that an interactive development environment, such as Jupyter or Google Colab, often works well for sharing results as you go, but you should choose whatever will be most comfortable for you. For the Onsite Interview, please have your development environment set up ahead of time, and be prepared to share your screen through Zoom.

Analytics & Data Interview

You'll work with one of our engineers in a live coding interview exploring a new dataset and answering some open-ended questions about what we can learn from it. You can use either Python or R, and whatever development environment you prefer.

Statistical Analysis and Experimentation

You'll talk through a hypothetical statistical inference & experimentation problem.

Cross-Functional Partnerships

A non-technical stakeholder interview to understand how you approach collaborating with stakeholders on data + business problems. This interview will talk through both past experiences working with stakeholders and some hypothetical scenarios for collaborating with business teams on quantitative problems. You should feel comfortable translating a business question into a technical approach and explaining your reasoning at an appropriate level of detail.

Career History & Experience Interview

A non-technical career history interview to understand your experience more in-depth, your biggest achievements, challenges, and how you worked with others on teams. It's helpful to review highlights and lowlights of each major role you've held, achievements and challenges through your career, the people you worked with and who your manager was.

You will have the opportunity to meet with someone on our executive team as the final step of our process. Please come prepared to have a discussion around our mission and values, as well as your interest in Notion and this opportunity. They will want to understand your goals, interests, and motivations.

As a final step in the process, we will also conduct reference checks. All offers are contingent on a background check, which includes employment verification.

We want everyone who interviews with us to feel set up for success. Please reach out if you have questions!