Data Scientist - Deep Learning Forecasting
Core
Build and train production-ready demand forecasting models using deep learning and econometrics to optimize pricing and revenue for commercial teams.
Role type
Senior IC machine learning engineer (time-series forecasting)
Builds
Production ML models for demand prediction and pricing intelligence
Domain
Aviation, Revenue Management, Time-Series Forecasting
Deliverable
production ML models
Required skills
Deep learning, Time-series forecasting, Python, PyTorch/TensorFlow, Feature engineering, Model explainability, ML production workflows
Preferred skills
Cloud platforms (GCP), Data visualization, Code optimization, CI/CD
Technologies
PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, GCP (Vertex AI, PubSub, Cloud Run Functions), Docker
Responsibilities
Develop and implement state-of-the-art econometric and machine learning models for demand forecasting; Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability; Collaborate with cross-functional teams to deploy ML systems in production.
Seniority
Senior, hands-on IC
