Job Description

Lead the development of scalable, production-ready machine learning models for demand forecasting and other core challenges in hospitality.

Responsibilities

• Lead the design, development, and deployment of forecasting and pricing models
• Develop hierarchical forecasting frameworks
• Build uncertainty quantification frameworks
• Guide model architecture choices
• Collaborate with engineering to deploy and monitor models
• Translate model outputs into actionable insights
• Define and execute model performance measurement strategies
• Present findings and recommendations

Requirements

• MS or PhD in a quantitative field
• 10+ years of experience in data science
• Expertise in time series forecasting and Bayesian modeling
• Proficiency with ML/DL frameworks and programming languages
• Familiarity with cloud platforms and MLOps tools
• Strong communication skills
• Prior experience in the hospitality domain is desirable
• Experience designing model evaluation frameworks

Benefits

• No benefits