San Francisco, California, California, United States · Remote
Full-time
Mid level
2 months ago
Verified apply link — checked 6 hours ago
Salary undisclosed
WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: - You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making. - You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap. - You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work. - 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!) SKILLS YOU'LL NEED TO BRING: - 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. NICE TO HAVES: - 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 benef
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