Related keywords: data scientist remote jobdata science remote jobremote job europe
This page contains product affiliate links.
Eight Sleep is pioneering the sleep fitness industry with a mission to enhance human potential through optimal sleep. The company utilizes innovative technology, detailed design, and scientifically proven data to personalize and improve sleep experiences globally, thus revolutionizing how people rest for the better.
Besides being a trailblazer in sleep technology, Eight Sleep has been acknowledged by influential Silicon Valley investors and recognized as one of Fast Company’s Most Innovative Companies in the years 2018, 2022, and 2023. Their marquee product, the Pod, leverages patented temperature-regulated technology, transforming health and happiness by redefining sleep practices. TIME magazine has honored the Pod as one of the “Best Inventions of the Year” for two consecutive years.
Eight Sleep markets the Pod, alongside other products, directly to consumers through their website, eightsleep.com. Despite the success of the Pod to date, Eight Sleep remains dedicated to furthering their mission and achieving broader impact.
Eight Sleep is on the hunt for an experienced Data Scientist dedicated to developing predictive demand models using sales and marketing data. The ideal candidate will merge robust analytical expertise with strong marketing sensibilities to enhance growth strategies.
The Data Scientist will be instrumental in developing and maintaining predictive models that focus on customer behavior, lifetime value, and sales growth. Additionally, the role involves creating media mix models that can assess different scenarios for allocating expenditure across various marketing channels.
Collaboration with growth and finance teams will be essential to provide insights into business opportunities that foster incremental revenue growth. Furthermore, the candidate will guide the CEO, CFO, and VP of Growth by providing quantitative analysis on marketing performance and member behavior.
Maintaining dashboards for key marketing metrics, building analytics experiments, reports, and dashboards using tools like SQL, R, and Python, and identifying opportunities for growth and efficiency within the marketing funnel are additional responsibilities. This role also requires translating complex data insights into actionable recommendations and product objectives into data science problems.
The ideal candidate should possess a Bachelor's degree in Data Science, Statistics, Mathematics, or Computer Science, along with over three years of experience in a data science role, preferably with a focus on marketing or growth. Proficiency in SQL, data visualization tools such as Looker and Tableau, and programming languages like Python or R is mandatory.
Skills in constructing data pipelines using ETL, dbt, or similar tools, coupled with excellent analytical and problem-solving abilities, are required. The ability to synthesize complex data for informed decision-making is crucial for a candidate’s success.
Eight Sleep is composed of a passionate, close-knit team devoted to transforming people’s lives through improved sleep. The team includes award-winning marketers, creatives, and engineers from diverse backgrounds, providing a unique opportunity to play a pivotal role in shaping the future of Eight Sleep and the sleep fitness category.
The leadership at Eight Sleep is committed to employee wellness and career development. Employees benefit from flexibility with PTO, role ownership, uncapped growth opportunities, and a personal Pod for better sleep every night.
As an equal opportunity employer, Eight Sleep is dedicated to cultivating a diverse and inclusive community where everyone can thrive. The company champions equal employment opportunities for all individuals, irrespective of race, color, religion, sex, or any other protected status.
The position is available to applicants in the US, Canada, LATAM, UK, or Europe, with competitive compensation inclusive of salary and equity based on location.
This job offer was originally published on Jobicy
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
