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
- 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.
- Dive into ambiguous areas, define problems and opportunities for the team to work on the next influential project.
- Design the right set of experiments or analyses to evaluate the success of new features.
- 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.
- 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.
- Influence your product roadmap by communicating your findings with the rest of the company, and driving and verifying change in our product and business.
Skills You'll Need To Bring
- Experience as a data scientist partnering with product and engineering teams.
- Expertise in SQL and at least one scripting language (ideally Python or R).
- Ability to use statistical inference and experimentation to drive actionable recommendations.
- Experience building predictive models, and knowledge of how to evaluate their effectiveness.
- Comfort in transforming raw data to build your own data sets if the measure you need doesn't exist yet.
- A bias for using the right tools to get a job done with maximum efficiency.
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 $136,000 - $160,000 per year.
Benefits Extracted with AI
- Competitive cash compensation
- Equity
- Health insurance
- Paid vacation
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