Applied Scientist

📋 Description

• Embedded in product teams to own use cases end-to-end.
• Develop forecasting and inventory optimization algorithms.
• Collaborate with Engineers, Designers and Analysts.
• Use ML and statistics to boost inventory availability.
• Leverage Python, SQL, Snowflake and MLOps tooling.

🎯 Requirements

• Passion for applied science; solve problems with data and ML.
• Production-ready ML: build robust, scalable models.
• Foundational ML and statistics; time-series forecasting.
• Engineering excellence: production-grade Python; SQL familiarity.
• Clear communication: explain complex ideas to non-technical audiences.
• Experimental design: strong methods for impact validation.

🎁 Benefits

• Ownership from idea to production delivery.
• Collaborative, cross-functional teams.
• Impact across 30+ countries with merchants.
• Commitment to diversity and inclusion.