Data Scientist, Growth

Stack

Responsibilities

• ▹Build advanced demand forecasting models to eliminate stock-outs during peak periods (Black Friday, holidays) while avoiding overcommitting capital on inventory
• ▹Develop marketing spend optimization algorithms beyond the current Prophet model, incorporating seasonality, macro trends, and cross-channel effects
• ▹Build experimentation frameworks for incrementality testing across marketing channels (Meta, Google, YouTube) with proper statistical rigor
• ▹Build marketing attribution models that handle complex, multi-touch customer journeys

Requirements

• ▹5+ years of data science experience with demonstrable impact on business-critical forecasting and optimization problems
• ▹Forecasting expertise: production models that handle seasonality, growth trends, and external factors
• ▹Strong experimentation background: designing proper A/B tests, incrementality measurement, marketing mix modeling
• ▹Advanced Python/R skills plus expert SQL for building production pipelines and complex models
• ▹High ownership mentality, comfortable with ambiguous problems and intense work during critical periods
• ▹Business acumen: translating between technical solutions and business stakeholders (Growth, Finance, Operations)
• ▹Strong written and verbal communication skills
• ▹High sense of agency as an independent self-starter

Nice to have

• ▹Experience working with Prophet and knowledge of its limitations

Soft skills

What we offer

• ▹Equity participation for every full-time team member, with performance-based refreshers
• ▹Full health, vision, and dental insurance for employees and dependents
• ▹Supplemental life insurance
• ▹Flexible PTO
• ▹Commuter benefits
• ▹Paid parental leave
• ▹Your own Eight Sleep Pod

About the company

Eight Sleep is the world's first sleep fitness company, on a mission to fuel human potential through optimal sleep. Its flagship product, the Pod, is a temperature-regulated, data-driven sleep solution used in 30+ countries. The company runs an intense, high-performance culture, often with 60+ hour work weeks during critical periods.