Data Scientist, Growth

Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate wit [... source excerpt omitted ...] or something easier –this isn’t it. The Role We’re seeking a Data Scientist to join our Data & Analytics team within the Growth organization. This isn't a typical analyst role - you'll be the lead growth data scientist at Eight Sleep, owning complex forecasting challenges that directly impact our supply chain, marketing spend, and business growth. The ideal candidate has deep experience with time series forecasting, experimentation design, and translating ambiguous business problems into data-driven solutions. What You'll Build Advanced demand forecasting models to solve our biggest operational challenge: eliminating stock-outs during peak periods (Black Friday, holidays) w [... source excerpt omitted ...] ion frameworks for incrementality testing across our marketing channels (Meta, Google, YouTube) with proper statistical rigor Marketing attribution models that handle our complex customer journey and multi-touch attribution challenges What You'll Need to Succeed 5+ years of data science experience with demonstrable impact on business-critical forecasting and optimization problems Forecasting expertise - you've built production models that handle seasonality, growth trends, and external factors. Bonus points if you've worked with Prophet and know its limitations Strong experimentation background - you can design proper A/B tests, understand incrementality measurement, and hav