Overview
Required Skills & Experience:
Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels) Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods) Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering Cloud & Infrastructure: Working knowledge of AWS services (EC, S, Lambda, SageMaker) and Infrastructure-as-Code practices Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization Dashboard Development: E...