About Eight Sleep
The sleep fitness company.
Eight Sleep is the worldβs first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybodyβchanging the way people sleep forever and for the better.
Backed by leading Silicon Valley investors, we have been recognized as one of Fast Companyβs Most Innovative Companies in 2018, 2022, and 2023.
Our patented temperature-regulated technology, the Pod, is an absolute game changer, improving people’s health and happiness by changing the way they sleep. The Pod was also recognized two years in a row by TIME’s βBest Inventions of the Year.β We sell the Pod and other products directly through our website, eightsleep.com. Weβre excited by the success of the Pod to date and still have a long way to go toward achieving our mission.
We are looking to hire an experienced Data Scientist who has a track record working with sales and marketing data to build complex predictive demand models. The ideal candidate will combine strong analytical skills with marketing acumen to guide optimizations to our growth strategies.
At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Please note: This role is open to applicants in the US, Canada, LATAM, UK, or Europe. Compensation (salary and equity) is competitive based on location.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory βΊ
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Eight Sleep is hiring a remote Data Scientist – Growth from πͺπΊ Europe, π LATAM, π¬π§ UK, πΊπΈ USA, π¨π¦ Canada
This is a Full Time role.
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