Data Scientist, Growth

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Company Overview

A leading sleep technology company is focused on improving human performance through optimal sleep. Its products combine advanced hardware, software, and AI technology to provide personalized, data-driven recovery experiences. The company serves customers across more than 30 countries and has been recognized by Fast Company and TIME for its innovation in sleep technology.

The organization operates as a high-performance team focused on rapid execution, continuous improvement, and building innovative technology. Employees are expected to take ownership, collaborate with highly skilled professionals, and contribute directly to products designed to improve sleep and overall human performance.

The organization is seeking a Data Scientist, Growth to join its Data & Analytics team within the Growth organization. This role will serve as the lead growth data scientist, owning complex forecasting and optimization challenges that directly influence supply chain operations, marketing investments, and business growth.

The ideal candidate will have strong expertise in time series forecasting, experimentation design, and translating ambiguous business challenges into data-driven solutions. The position requires someone who can develop production-ready models, communicate insights effectively, and work closely with Growth, Finance, and Operations stakeholders.

Key Responsibilities

• Develop advanced demand forecasting models to reduce stock-outs during peak periods while avoiding excessive inventory investment.
• Build and improve marketing spend optimization algorithms by incorporating seasonality, macroeconomic trends, and cross-channel effects.
• Develop experimentation frameworks for incrementality testing across marketing channels, including Meta, Google, and YouTube.
• Design statistically rigorous experiments and measurement approaches to evaluate marketing effectiveness.
• Develop marketing attribution models that address complex customer journeys and multi-touch attribution challenges.
• Improve existing forecasting approaches, including evaluating and addressing the limitations of models such as Prophet.
• Build production data pipelines and sophisticated analytical models that directly support business growth.
• Translate complex analytical findings into actionable recommendations for business stakeholders.
• Collaborate with Growth, Finance, Operations, and other cross-functional teams to solve high-impact business problems.
• Take ownership of ambiguous analytical challenges and independently drive projects from problem definition through implementation.

Required Qualifications

• 5+ years of experience in data science with demonstrated impact on business-critical forecasting and optimization problems.
• Strong expertise in time series forecasting, including experience developing production models that account for seasonality, growth trends, and external factors.
• Experience with forecasting tools such as Prophet and an understanding of their limitations.
• Strong experimentation background, including A/B testing, incrementality measurement, and marketing mix modeling.
• Advanced Python or R skills and expert-level SQL proficiency.
• Experience building production data pipelines and complex statistical or machine learning models.
• Strong business acumen with the ability to translate technical solutions into meaningful business outcomes.
• Excellent written and verbal communication skills, with the ability to explain complex analytical findings clearly.
• High ownership and accountability, with the ability to manage ambiguous problems independently.
• Strong sense of agency and the ability to thrive in a fast-paced, high-responsibility environment.
• Willingness to work extended hours during critical business periods when necessary.

Disclaimer

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