Data Scientist, Product


San Francisco


8 w


Full time




$136000 Per Year


$160000 Per Year

About The Role:
Notion’s mission is to make toolmaking ubiquitous. We are rapidly growing our business to empower every individual to build their own tools, block by block. Truth-seeking is one of Notion’s values, and it lies at the heart of the product data science team’s foundation. Data scientists on this team work closely with engineering teams to transform data into evidence that can direct product decisions.
As an early member of the product data science team, you'll 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. There will be significant variation from one day to the next, but whether you're exploring what a successful Notion account looks like, building out a core activity data set, or running experiments to evaluate the success of a key feature launch, you'll absolutely impact the development of Notion.

What You'll Achieve:
• You will apply your expertise in statistical inference, data mining, 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. (Insights are useful. Impact is even better!)

Skills You'll Need to Bring:
• You have spent meaningful time as a data scientist partnering with product and engineering teams. You can draw on that experience to identify where data can have the most impact and clearly communicate to your partner teams what that impact is.
• 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.