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Job Summary (List Format) – Data Science & Machine Learning Engineer (NextEra Energy)
- Apply advanced data science and machine learning techniques to power commodity trading and analytics, with a strong focus on energy, power, and commodities markets.
- Leverage expertise in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL for data analysis, modeling, and deployment.
- Deploy production-grade ML and analytics systems on cloud platforms (AWS, Azure, or GCP).
- Utilize strong foundations in statistics, linear algebra, and optimization for model development and quantitative analysis.
- Develop and implement supervised, unsupervised, and reinforcement learning models for market forecasting and optimization.
- Fine-tune and evaluate large language models (LLMs) and build Retrieval-Augmented Generation (RAG) pipelines for automating market reports and trade rationale summaries.
- Build and manage agentic AI frameworks (LangChain, LlamaIndex, CrewAI) for autonomous data gathering, analysis, and trading decision support.
- Design and implement intelligent trading assistants or agent frameworks that monitor, forecast, and act on real-time market data.
- Develop and optimize time series models (ARIMA, Prophet, LSTM, XGBoost) for price, load, and renewable generation forecasting.
- Conduct scenario modeling, stochastic simulations, Monte Carlo analysis, and Value at Risk (VaR) assessments for trading and risk management.
- Integrate weather, grid, and market data into predictive and trading systems.
- Build robust data infrastructure including ETL/ELT pipelines, data warehousing (DataBricks, Snowflake), and vector database solutions.
- Ensure data governance, security, versioning, and compliance with industry regulations.
- Create dashboards and visual analytics (Power BI, Tableau, Plotly) to communicate trading performance, market exposure, and forecast accuracy.
- Translate complex technical findings into clear narratives and actionable insights for traders and business executives.
- Collaborate closely with trading, analytics, and engineering teams to deliver innovative solutions for power commodity markets.
Key Skills
Ranked by relevance
machine learning
data warehousing
data analysis
tensorflow
power bi
tableau
pytorch
python
pandas
cloud
numpy
sql
aws
ai
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- Posted
- Jan 13, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Juno Beach
- Company
- Largeton Group
Industries
Information Services
Categories
Engineering
Information Technology
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