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Karkidi

Data Scientist, Marketing

Karkidi, San Francisco, California, United States, 94199


Notion's mission is to make toolmaking ubiquitous. We are rapidly expanding our business to empower every individual to build their own tools, block by block. As a marketing data scientist, you will play a critical role in accelerating Notion's growth by building and improving how we measure the impact of all our marketing efforts, such as brand campaigns and community. You will work closely with our marketing and engineering teams to make effective spending decisions across our marketing channels, recommend the most effective messaging and creatives from experiment design and analyses, and explore new opportunities for growing Notion's user base and business.What You'll Achieve:You will build models to optimize our marketing efforts to make sure our marketing spend has the best possible ROI.You will design, launch and analyze experiments to understand the incrementality of different messaging and creative campaigns.You will apply your expertise in data mining and data presentation, as well as your knowledge of marketing channels and platforms, to identify opportunities for improving Notion's marketing strategy beyond the numbers.You will partner closely with all marketing teams to make critical decisions about where we invest our marketing efforts, understanding the impact of our business, defining key success metrics and core segmentations.You will influence your team's roadmap by sharing your findings with the rest of the company, and driving and verifying change in our marketing channel spend. (Insights are useful, but impact is even better!)Skills You'll Need to Bring:You have spent meaningful time as a data scientist partnering with business functions ideally with paid marketing teams and having expertise in analyzing brand campaigns.You can draw on that experience to identify where data can have the most impact and clearly communicate your findings and recommendations to your partner teams.You relish turning ambiguous questions and problems into clear deliverables and insights.You are an expert in SQL and at least one of scripting languages such as R/Python.You are comfortable transforming raw data to build your own data sets if the metrics and reporting you need 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.Nice to Haves:You have worked at a fast-growing start-up.You have experience at a B2B SaaS company.You have solid experience working with marketing 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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