Notion is looking to hire a Data Scientist to help them make toolmaking ubiquitous by empowering individuals to build their own tools. The data science team works closely with engineering to transform data into evidence that can direct product decisions, impacting the development of Notion.
Requirements
- 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 have experience building predictive models, and you know how to evaluate their effectiveness.
- You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.
- You have a bias for using the right tools to get a job done with maximum efficiency. You have experience making tradeoffs between speed and accuracy.
Responsibilities
- You will apply your expertise in statistical inference, data analysis, and the presentation of data to see beyond the numbers and understand how our users interact with Notion
- You will dive into ambiguous areas, define problems and opportunities for the team to work on the next influential project
- You'll design the right set of experiments or analyses to evaluate the success of new features
- You'll partner closely with a product, engineering, and marketing pillar at every step of the development process, driving forward data science and analytics work in that area.
- You'll work with your teams to determine both north star and operational metrics, and build and maintain the dashboards that those teams rely on for monitoring progress and making key decisions.
- You'll influence your product roadmap by communicating your findings with the rest of the company, and driving and verifying change in our product and business.
Other
- In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days.
- You will be instrumental in setting the roadmap for how product, engineering, and data science work together, and then doing the hands on work to execute against it.
- You have spent meaningful time as a data scientist partnering with product and engineering teams.
- If you're a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
