Senior Data Scientist – Load & Renewable Generation Forecasting - #26-27215

Duration: 12 months Contract
Job Description:

• NextEra Energy is seeking a Senior Data Scientist to develop, improve, and support forecasting solutions for wind, solar, and electricity load.
• The role focuses primarily on wind generation forecasting and combines machine learning, weather analytics, data engineering, and production support.
• The candidate will build models, evaluate weather data providers, and improve forecast accuracy and reliability.

Responsibilities:

• Develop, test, deploy, and improve wind, solar, and load forecasting models using weather data, historical generation/load, SCADA telemetry, statistical methods, and machine learning.
• Perform feature engineering, model validation, backtesting, benchmarking, and forecast-error analysis across sites, seasons, and forecast horizons.
• Evaluate weather and Numerical Weather Prediction (NWP) providers for accuracy, coverage, reliability, latency, and useful variables. Recommend provider selection, blending, and fallback approaches.
• Account for weather, equipment availability, curtailment, outages, and other operational factors affecting renewable generation and electricity demand.
• Integrate weather APIs, telemetry, databases, and external data feeds into scalable forecasting workflows.
• Monitor production forecasts for accuracy, data quality, model drift, and provider outages. Troubleshoot issues and implement alerts and recovery processes.
• Collaborate with data science, data engineering, DevOps, operations, and business teams to deploy and maintain forecasting applications.

Experience:

• Advanced Python skills and experience with pandas, NumPy, scikit-learn, statsmodels, LightGBM, or XGBoost.
• Experience developing and deploying forecasting, time-series, or predictive models.
• Strong knowledge of feature engineering, regression, gradient boosting, ensemble methods, probabilistic forecasting, model validation, and backtesting.
• Experience analyzing weather APIs/NWP forecasts and integrating SCADA/telemetry, databases, or external data feeds.
• Strong SQL, data analysis, troubleshooting, and communication skills.
• Experience moving models from development into reliable production workflows.
• Working knowledge of AWS services such as EC2, S3, Lambda, Step Functions, CloudWatch, or SageMaker, or comparable cloud technologies.
• Familiarity with Git, testing, version control, and reproducible development practices.

Skills:

• Python – pandas, NumPy, scikit-learn, XGBoost/LightGBM.
• Time-Series Forecasting & Machine Learning – predictive modeling, regression, ensemble methods, model validation, and backtesting.
• Weather Data & NWP Analytics – weather APIs, Numerical Weather Prediction, and weather-provider performance analysis.
• Renewable Energy Forecasting – wind generation forecasting, solar forecasting, and electricity load forecasting.
• AWS & Data Engineering – AWS services, SQL, data pipelines, SCADA/telemetry integration, and production model deployment.

Education:

• Bachelor's degree, Data Science, Information Technology, Computer Science, Engineering, or a related discipline. Equivalent relevant professional experience will be considered.

Additional Qualifications:

• Shift Hours: 8:00AM -5:00 PM EST

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .
US Tech Solutions is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
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