Senior Data Scientist

Must Haves: • Advanced Python expertise (pandas, numpy, scikit-learn, statsmodels) • Strong background in time-series forecasting (ARIMA, SARIMAX, gradient boosting models) • Proven experience taking models from development to production • Experience integrating weather APIs and external data sources • Hands-on experience with AWS (EC2, S3, Lambda, SageMaker) • Strong SQL skills and experience querying large datasets • Experience building production monitoring, versioning, and retraining pipelines • Excellent communication skills with both technical and non-technical stakeholders Pluses: • Energy markets, load forecasting, or renewable generation domain experience • Probabilistic forecasting and uncertainty quantification • Advanced feature engineering with weather and domain-specific signals • Experience with Streamlit, Plotly, or similar dashboarding tools • Agile/Scrum experience (Jira, Confluence) • Infrastructure-as-Code experience Day to Day: Insight Global is seeking a Principal Data Scientist – Load & Renewable Generation Forecasting for a top energy and utilities client. This individual will lead the design, development, and deployment of advanced forecasting models supporting load, solar, and wind generation across mission-critical operations. The role blends deep data science expertise with real-world operational impact—working closely with trading, system operations, and engineering teams to deliver highly accurate, production-ready forecasting solutions. The ideal candidate thrives in complex environments, takes full ownership of the model lifecycle, and is passionate about building scalable systems that directly influence real-time energy decisions. • Lead end-to-end development of load, solar, and wind forecasting models • Design, deploy, and maintain production-grade forecasting systems • Build automated retraining, evaluation, and performance monitoring frameworks • Integrate weather and operational data via APIs and internal data warehouses • Develop scalable pipelines for real-time and batch forecasting • Partner closely with trading, system operations, and engineering teams • Create interactive dashboards to communicate forecasts and insights • Ensure forecasting solutions meet strict accuracy and operational deadlines