Senior Machine Learning Engineer (m/w/d)
Core
Building data-driven forecasting, pricing logic, and product insights to improve revenue management and pricing strategies.
Role type
Senior Machine Learning Engineer (Applied ML)
Builds
Production forecasting and pricing models, decision logic, and data visibility dashboards.
Domain
Hospitality / Revenue Management / Dynamic Pricing
Deliverable
production ML models
Required skills
Python, SQL, Time Series Analysis, Feature Engineering, A/B Testing, Backtesting, MLOps, Cloud Infrastructure, Data Quality, Experiment Design
Preferred skills
Revenue Management, Dynamic Pricing, Analytics Engineering (dbt, Snowflake, Metabase), MLOps tools, AWS
Responsibilities
Develop and optimize forecasting and pricing models; define features and labels for time series data; evaluate models via backtests and A/B logic; build dashboards for model and business KPIs; implement reproducible ML workflows and pipelines.
Seniority
Senior, hands-on IC
