Data Scientist, Growth
Eight Sleep- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a strong command of SQL and Python, or similar data-focused languages, along with proven experience in data modeling, pipeline design, and working with large-scale datasets. A solid understanding of experimental design, causal inference, and statistical analysis is also required, alongside the ability to visualize and communicate insights clearly to both technical and non-technical stakeholders.
This Data Scientist will design, build, and maintain scalable data pipelines to ensure reliable, timely access to core product and business data, defining and developing core metrics to measure product performance and strategic initiatives. They will also design and analyze experiments (A/B tests) to evaluate new features and pricing strategies, translate complex data into clear, actionable insights using dashboards and reports, and collaborate cross-functionally with product managers, engineers, and executives to drive impact through data, proactively identifying trends and anomalies to uncover opportunities.
Fantasy sports platform with social features
Sleeper operates a platform for managing fantasy sports leagues, particularly focusing on fantasy football and bracket pools. Users can engage with the platform through features like in-app chat, live game watching, and an easy-to-navigate design, which fosters communication and shared experiences among sports fans. Unlike many competitors, Sleeper does not rely on advertisements for revenue; instead, it offers premium features and services, such as advanced draft modes and customization options, to enhance the user experience. This focus on quality and user engagement has led to significant growth, with over 4 million users and high retention rates. Sleeper's goal is to create a social and immersive fantasy sports environment that keeps users engaged throughout the sports season.