Senior Machine Learning Engineer (m/w/d)
Core
Build forecasting and pricing models, data-driven decision logics, and dashboards to improve revenue management and product insights for the hotel industry.
Role type
Senior Machine Learning Engineer (Applied ML)
Builds
Forecasting models, pricing logics, and data-driven decision systems for a hotel portfolio.
Domain
Hospitality / Revenue Management / Time Series Forecasting
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, Time Series Analysis, Feature Engineering, A/B Testing, Backtesting, Data Quality, MLOps
Preferred skills
Revenue Management, Dynamic Pricing, Analytics Engineering (dbt, Snowflake), Metabase, AWS
Responsibilities
Develop and optimize forecasting and pricing models; define features and labels to prevent data leakage; evaluate models via backtests and A/B logic; build dashboards for model and business KPIs; establish reproducible ML workflows and pipelines.
Seniority
Senior, hands-on IC