Principal Data Scientist (onsite)

14548 - Principal Data Scientist (Onsite) - Juno Beach, FL Start Date: ASAP Type: Temporary Project Estimated Duration: 12+ months with possible extensions Work Setting: 100% of the time at the Client's site. No telecommuting or remote work. This is a non-negotiable requirement from the client. Only candidates able to relocate as required should apply to avoid removal from future consideration. Required: Availability to work 100% of the time at the Client's site in Juno Beach, FL (required); Experience with Python (pandas, numpy, scikit-learn, stats models) for data science workflows; Experience with time-series forecasting models and methods (ARIMA, SARIMAX, gradient boosting) and production deployment; experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance Experience with API integration for weather and external data sources and data engineering pipelines; Experience with AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices; Experience with SQL databases and large-scale data queries and optimization; Experience with dashboard development using Streamlit, Plotly, or similar frameworks; Experience with model evaluation metrics (MAE, RMSE, MAPE) and version control (Git); Preferred: Experience with advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods; Experience with energy markets and renewable generation forecasting; Experience with Agile project management tools (Jira, Confluence); Responsibilities: Lead end-to-end forecasting model development for Load, Solar, and Wind generation from conception through production deployment; Build automated retraining and evaluation frameworks with monitoring dashboards; Develop data connectors for weather APIs and data warehouse systems; Design and maintain scalable pipelines for real-time and batch forecasting operations; Create interactive dashboards and present forecasting insights to business stakeholders including trading, operations, and engineering teams; Implement robust error handling, alerting mechanisms, and recovery procedures for production forecasting systems; Optimize model performance and ensure forecasting accuracy meets operational deadlines and standards; Why apply? Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company; Work with a great team of professionals and learn newest technologies and approaches; Enjoy our Client's wonderful campus with top-notch facilities for work and recreation; Benefit from multiple projects extensions; Receive support and advice from Vitaver consultants who are already working at our Client's site; Get extra cash by participating in Vitaver Successful Completion Bonus Program; Always get paid in full and on time.