Develop and maintain time-series forecasting models for travel demand, pricing, and key performance indicators. Analyze large-scale data, engineer features, compare statistical and machine learning approaches, validate models through backtesting, and deploy solutions to production. Collaborate with engineers, product managers, and business stakeholders while maintaining clean, reproducible code and supporting model lifecycle management, monitoring, and retraining.

Design, develop, and maintain scalable Python backend APIs and infrastructure using FastAPI, Flask, PostgreSQL, and AWS. The engineer will implement CI/CD and automated testing, deploy containerized services with Docker and Kubernetes, collaborate with product, frontend, and data teams, mentor colleagues, and improve engineering practices. The role may also support data pipelines and analytics capabilities.