Senior Data Scientist / ML Engineer – Forecasting & RMS Engines (3-6 Years)
Core
Build daily demand-forecasting models and convert outputs into pricing and decision-support inputs for hotels.
Role type
Senior IC data scientist / ML engineer (forecasting)
Builds
Production forecasting workflows and pricing-support logic for hotel revenue management
Domain
Hospitality / Revenue Management
Deliverable
production ML models
Required skills
Time-series forecasting, Python, SQL, pandas, NumPy, scikit-learn, forecast evaluation (MAPE/WAPE/MAE, backtesting), handling messy operational data
Preferred skills
ARIMA/SARIMA/Prophet/XGBoost, pricing/revenue management domain, MLflow/Airflow/Docker/FastAPI, early-stage startup experience
Technologies
Python, SQL, pandas, NumPy, scikit-learn, XGBoost, Prophet, ARIMA, SARIMA, MLflow, Airflow, Docker, FastAPI
Responsibilities
Build and evaluate daily demand-forecasting models; convert hospitality signals into model features; design backtesting and evaluation frameworks; implement forecast outputs for backend services and dashboards; productionize data/model pipelines; document model assumptions and configurations
Seniority
Senior, hands-on IC
