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Data Scientist

Eight SleepCalifornia, United StatesRemote, Onsite
This job is no longer open

Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody—changing the way people sleep forever and for better.
Our temperature-regulated technology, the Pod, is an absolute game changer. It improves people's health and happiness by changing the way they sleep. The Pod was recognized by TIME's “Best Inventions of the Year.” It is available for purchase in North America and internationally. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we’ve raised over $150 million (Series C) to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019, 2022, and 2023.We are looking to hire an experienced Data Scientist who has a track record working with human data in the consumer wellness or digital health space.

This role will be responsible for core data intelligence features, exploratory data analysis, user-facing insight generation, and publication of findings to the world. This position is ideal for a data scientist looking to work on a massive amount of human data with a highly collaborative R&D team in a fast paced setting. Your work will positively impact hundreds of thousands of members by improving their sleep and health.

How you’ll contribute



  • Improve core intelligent features such as Pod temperature actuation

  • Develop user-facing insights that link behavior, physiology, and Pod actuation

  • Data analysis of research studies that lead to new features, including data engineering of study data

  • Collaborate with Product, Software, and Marketing to productionize features

What you need to succeed



  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent

  • 4+ years of industry experience as a data scientist, including:

  • 1+ years of working with time-series human physiology data

  • 2+ years of machine learning experience, including classical techniques and deep learning

  • 2+ years applying statistics to real world data

  • Proficient in the following languages and tools:

  • Python or R; able to run common statistical tests (e.g. t-tests, ANOVA, multiple regression, linear mixed models)

  • Data visualization tools (e.g. plotly, seaborn, ggplot2, matplotlib)

  • SQL and Github

  • Experience shipping features into production

  • Able to clearly communicate, is attentive to detail, and is adaptable to changes in a fast-paced environment

Why you’ll love Eight



  • We’re a tight-knit, passionate team that’s working to impact people’s lives by improving the way they sleep

  • Leadership is committed to employees’ wellness and career development

  • You’ll get a better night's sleep every night; all full-time employees receive the Pod

  • Flexible PTO 

  • 100% employer contribution for medical/dental/vision insurance

  • Role ownership, and uncapped growth opportunities

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 statusCompensation Range: $170K - $200K

This job is no longer open

Life at Eight Sleep

Thrive Here & What We Value* Tight-knit passionate team working towards improving people's lives through sleep innovation* Leadership committed to employee wellness and career development* Diverse community values with equal opportunity employer policies* Uncapped growth opportunities for full-time employees* Flexible PTO policy* 100% employer contribution for medical/dental/vision insurance* Role ownership and leadership opportunities for high performers* Full-time employees receive the Pod* Fully distributed workforce
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