Data Scientist, Notion

• 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 motivated by business results
• You have expertise in SQL and at least one scripting language (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 they don’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
• 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

Desirable

• Notion’s mission is to help people build beautiful tools for their life’s work. The Growth Team aims to accelerate Notion's reach and impact by making the product more valuable to our users and in doing so grow 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
• You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision making
• You will conduct analysis to identify opportunities for your team and help shape the strategy and roadmap
• You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions
• You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!)