Job Description

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...

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