happyhotel

Machine Learning Engineer

• Develop and optimize forecasting and pricing models, as well as data-driven decision logic
• Work with time series, demand signals, and heterogeneous data sources
• Define features and labels carefully to prevent data leakage
• Evaluate models using backtests, robust metrics, and segmentation analyses
• Support holdout experiments and A/B testing logic
• Monitor offline versus online performance
• Establish best practices for backtesting, reproducibility, and versioning
• Build dashboards and reports that make model and business KPIs transparent
• Improve reproducible workflows, versioned pipelines, and meaningful tests
• Automate recurring analyses and evaluation runs
• Collaborate closely with Product and Engineering
• Help scale the next generation of automated revenue management for happyhotel’s hotel technology platform

Senior Machine Learning Engineer

• Develop and optimize forecasting and pricing models and data-driven decision logics
• Work with time series, demand signals, and heterogeneous data sources
• Define features and labels carefully to prevent data leakage
• Evaluate models through backtesting, robust metrics, and segmentation
• Support holdouts and A/B testing logic
• Balance offline and online performance
• Raise standards for backtesting, reproducibility, and versioning
• Enhance dashboards and reports to make model and business KPIs transparent
• Drive reproducible workflows with versioning, clear pipelines, and meaningful tests
• Automate recurring analyses and evaluation runs
• Collaborate closely with Product and Engineering
• Deliver measurable, data-driven improvements in the Pricing & Revenue context