Data Scientist, Product Growth & Monetization

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. The Growth Team aims to accelerate Notion's reach and impact by making the product more valuable to our users and growing our business. As a growth data scientist, you'll drive improvements to the user experience and our self-serve revenue engine through quantitative analysis and experimentation, in close partnership with the product team. You will be instrumental in defining the team's roadmap by identifying new opportunities, seeing through their execution, and rigorously evaluating their impact. 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. 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 are comfortable with ambiguity and uncertainty 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. Nice to Haves: You worked on a growth product/strategy team You have worked at a fast-growing start-up. You have experience at a B2B SaaS company. You have solid experience working with growth teams to drive decision-making. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $152,000 - $215,000 per year.

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