What are the responsibilities and job description for the Senior Data Scientist – Load & Renewable Generation Forecasting position at Brillfy Technology?
Hiring: Senior Data Scientist – Load & Renewable Generation Forecasting
Job Title: Senior Data Scientist
Location: Juno Beach, Florida (Onsite – 700 Universe Boulevard)
Employment:- C2C
Job Description
We are looking for an experienced Senior Data Scientist to develop, enhance, and productionize forecasting solutions supporting Wind, Solar, and Load forecasting across energy operations.
The primary focus will be Wind Generation Forecasting, with additional support for Solar and Load forecasting initiatives.
The ideal candidate should have strong expertise in Python, Machine Learning, Time-Series Forecasting, Weather Data Analytics, and Renewable Energy Forecasting.
Key Responsibilities
Develop and enhance Wind, Solar, and Load forecasting models.
Build forecasting solutions using Python, Machine Learning, statistical methods, and time-series techniques.
Analyze weather data, Numerical Weather Prediction (NWP) forecasts, and historical generation data.
Evaluate and optimize multiple weather and NWP data providers.
Perform feature engineering, model selection, optimization, validation, and backtesting.
Work with SCADA data, operational telemetry, and renewable energy datasets.
Analyze wind speed, wind direction, turbine power curves, solar irradiance, and electricity demand patterns.
Monitor model performance using MAE, RMSE, forecast bias, and other performance metrics.
Deploy, monitor, and maintain forecasting models in production environments.
Develop data pipelines and integrate weather APIs, databases, and external data feeds.
Collaborate with Data Science, Data Engineering, DevOps, and business teams.
Required Skills
Strong hands-on experience with Python, Pandas, NumPy, and Scikit-learn.
Experience with Time-Series Forecasting and Predictive Modeling.
Knowledge of Machine Learning algorithms such as XGBoost and LightGBM.
Strong understanding of Statistical Modeling, Regression, Feature Engineering, and Ensemble Forecasting.
Experience with weather data, weather APIs, or Numerical Weather Prediction (NWP).
Experience analyzing large datasets using SQL.
Knowledge of model validation, backtesting, and performance monitoring.
Experience deploying ML models into production environments.
Working knowledge of AWS services such as S3, EC2, Lambda, and SageMaker.
Experience with Git and software development best practices.
Preferred Skills
Experience in Wind Power or Renewable Energy Forecasting.
Knowledge of Wind Turbine Power Curves and Wind Generation Modeling.
Experience with Solar Generation or Electricity Load Forecasting.
Experience working with SCADA and operational telemetry.
Knowledge of meteorology and weather forecasting.
Experience comparing multiple commercial weather/NWP providers.
Familiarity with energy markets and utility operations.
Experience with Streamlit, Plotly, or similar visualization tools.
Ideal Candidate Profile
Candidates with hands-on experience in Renewable Energy Forecasting, Wind Forecasting, Time-Series Modeling, Weather Analytics, and Python-based Machine Learning solutions are highly preferred.
Salary : $65 - $70