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

- **Company:** US Tech Solutions, Inc.
- **Location:** West Palm Beach, FL, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Cloud Computing, Databases, Information Engineering, DevOps, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Machine Learning, NumPy, Backtesting, Standard Sql, SQL Databases, Feature Engineering, State Machines, Model Validation, Git, Pandas, Scikit Learn, Information Technology, Statistics Packages, Xgboost, Functional Programming, Drift Detection, Cloudwatch, Software Version Control, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/4fbe944c-0aa3-402d-be05-8456a9de368f

## About the Role

* 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.

## 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., * 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.