Data Scientist, Growth

• You have worked at a fast-growing start-up.
• You have experience at a B2B SaaS company.
• You have a track record of acting as a thought partner to product, engineering, and marketing leaders, driving strategic decisions on these teams using data.
• You have experience building predictive models, and you know how to evaluate their effectiveness.

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 $145,000 – $233,000 per year.

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#LI-Onsite

• You are comfortable with ambiguity and motivated by business results.
• 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 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.