Notion is seeking a Data Scientist to join their product data science team to transform data into actionable insights to guide product decisions, collaborate closely with engineering teams, and influence the product roadmap through data analysis and experimentation.
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
- You will transform data into actionable insights to guide product decisions
- You will collaborate closely with engineering teams
- You will influence the product roadmap through data analysis and experimentation
- You have spent meaningful time as a data scientist partnering with product and engineering teams.
