Job Description
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The Opportunity
- Growth Data Scientists partner closely with our product, engineering, growth, and/or lifecycle marketing stakeholders. They are responsible for designing and overseeing product experiments, as well as conducting complex analyses to inform product strategy through advanced analytics and machine learning. The ideal candidate will have a strong track record of delivering impactful analytical projects within the Growth domain and partnering with cross-functional peers to guide and influence decision-making.
- Product Data Scientists are responsible for evaluating the quality of the Superhuman products, end-to-end, from the usefulness and accuracy of our text suggestions to the stickiness of new AI features and user experiences and interfaces. Product Data Scientists serve as trusted experts for our team of product managers and product leaders to help drive product strategy based on data. They work with the PMs, engineering managers, software engineers, designers, ML engineers, and UX researchers who build new features and improve existing ones to ensure that our product development efforts are data-driven and that we are experimenting rapidly and effectively. This role provides an opportunity for ownership over important parts of the Superhuman product experience and broad cross-functional collaboration opportunities with our growth, ML/AI, and enterprise data science teams.
- Partner closely with growth product, engineering, design, growth, and lifecycle marketing teams.
- Build new metrics that deliver insights and expand our understanding of our users.
- Mine large datasets to uncover patterns across our users’ behaviors, enabling new marketing touchpoints.
- Design and run experiments to improve the user experience across our user lifecycle.
- Optimize marketing across our email, in-product, and push channels to ensure we send relevant, timely, personalized touchpoints to our users.
- Guide your stakeholders’ decisions and roadmaps with informative, evidence-based decision-making.
- Take on a broad and
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