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Data Scientist, Growth

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Data Science, Statistics, Mathematics, or Computer Science, 3+ years of data science experience, preferably in marketing.

Key responsabilities:

  • Develop predictive models for sales growth and customer behavior
  • Work with Growth and Finance teams to provide insights for revenue growth
  • Create and maintain dashboards for key marketing metrics
  • Translate complex data insights into actionable recommendations
Eight Sleep logo
Eight Sleep Consumer Services Scaleup https://www.eightsleep.com/
11 - 50 Employees
See more Eight Sleep offers

Job description

Eight Sleep is the world’s 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 everybody—changing the way people sleep forever and for the better. 

Backed by leading Silicon Valley investors, we have been recognized as one of Fast Company’s 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 “Best Inventions of the Year.” We sell the Pod and other products directly through our website, eightsleep.com. We’re excited by the success of the Pod to date and still have a long way to go toward achieving our mission.

About the role

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.

How you’ll contribute

  • Develop and maintain predictive models for sales growth, customer behavior and lifetime value

  • Create a dynamic portfolio model that allows us to assess various scenarios for allocating spend across our various channels

  • Work closely with Growth and Finance teams, providing insights into business opportunities for incremental revenue growth

  • Lead the quantitative analysis to provide insights that help the CEO, CFO, and VP of Growth understand marketing performance and member behavior 

  • Create and maintain dashboards for key marketing metrics

  • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools

  • Identify opportunities for growth and efficiency in our marketing funnel

  • Translate complex data insights into actionable recommendations

What you need to succeed

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

  • 3+ years of experience in data science, preferably in a marketing or growth-focused role

  • Experience with SQL and data visualization tools (e.g., Looker, Tableau)

  • Experience with Python, R, or similar programming languages

  • Excellent analytical and problem-solving skills

  • Ability to synthesize complex information and data to inform decision-making

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Consumer Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Motivational Skills
  • Analytical Thinking

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