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14950 - 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.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Availability to work 100% of the time at the Client's site in Juno Beach, FL.
• Experience with Python (pandas, numpy, scikit-learn, statsmodels).
• Experience with Time-Series Forecasting (ARIMA, SARIMAX, gradient boosting methods).
• Experience with Production model deployment with versioning, monitoring, and maintenance.
• Experience with Weather API and external data source integration into forecasting pipelines.
• Experience with Data engineering.
• Experience with Amazon Web Services (AWS) (EC2, S3, Lambda, SageMaker).
• Experience with Infrastructure-as-Code (IaC).
• Experience with Structured Query Language (SQL) databases and large-scale query optimization.
• Experience with Interactive dashboard development (Streamlit, Plotly).
Preferred:
• Experience with Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods.
• Experience with Energy markets and renewable generation forecasting domain.
• Experience with Agile project management (Jira, Confluence).
• Experience with Feature engineering with weather variables and domain-specific signals.
• Experience with Model evaluation metrics (MAE, RMSE, MAPE).
• Experience with Automated data pipelines and version control (Git).
Responsibilities:
• Lead end-to-end forecasting model development for Load, Solar, and Wind 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 scalable pipelines for real-time and batch forecasting operations.
• Create interactive dashboards (Streamlit) and present insights to stakeholders.
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.
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.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Availability to work 100% of the time at the Client's site in Juno Beach, FL.
• Experience with Python (pandas, numpy, scikit-learn, statsmodels).
• Experience with Time-Series Forecasting (ARIMA, SARIMAX, gradient boosting methods).
• Experience with Production model deployment with versioning, monitoring, and maintenance.
• Experience with Weather API and external data source integration into forecasting pipelines.
• Experience with Data engineering.
• Experience with Amazon Web Services (AWS) (EC2, S3, Lambda, SageMaker).
• Experience with Infrastructure-as-Code (IaC).
• Experience with Structured Query Language (SQL) databases and large-scale query optimization.
• Experience with Interactive dashboard development (Streamlit, Plotly).
Preferred:
• Experience with Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods.
• Experience with Energy markets and renewable generation forecasting domain.
• Experience with Agile project management (Jira, Confluence).
• Experience with Feature engineering with weather variables and domain-specific signals.
• Experience with Model evaluation metrics (MAE, RMSE, MAPE).
• Experience with Automated data pipelines and version control (Git).
Responsibilities:
• Lead end-to-end forecasting model development for Load, Solar, and Wind 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 scalable pipelines for real-time and batch forecasting operations.
• Create interactive dashboards (Streamlit) and present insights to stakeholders.
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.