About the job
At Superhuman, we embrace a vibrant hybrid working model that combines focused work time with essential in-person collaboration, cultivating trust, innovation, and a robust team culture.
Our Data Scientists must be located in San Francisco, Seattle, or New York City.
About Superhuman
Superhuman is an AI productivity platform aiming to unlock the superhuman potential inherent in everyone. With a suite of applications and agents, Superhuman integrates seamlessly with over 1 million applications and websites, delivering advanced tools including Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that responds to context and offers assistance automatically. Since our founding in 2009, we have empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally to eliminate mundane tasks and focus on what truly matters. Discover more at superhuman.com and explore our values here.
The Opportunity
To fulfill our ambitious objectives, we are seeking accomplished Data Scientists to join our Product and Growth Data Science teams. Data teams at Superhuman are trusted experts who reveal new insights to guide marketing, product, and growth strategies that yield significant outcomes for the company. We manage extensive datasets and are looking for individuals with exceptional technical and analytical capabilities to dissect complex business challenges and provide impactful solutions.
Growth Data Scientists work closely with product, engineering, growth, and lifecycle marketing teams. They are responsible for designing and executing product experiments and performing intricate analyses to shape product strategies through advanced analytics and machine learning. The ideal candidate will demonstrate a proven history of delivering significant analytical projects in the Growth sector and collaborating effectively with cross-functional peers to influence decision-making.
Product Data Scientists focus on assessing the quality of Superhuman products across the board, evaluating everything from the usefulness and accuracy of text suggestions to the engagement of new AI features.

