Senior Data Scientist – Energy Trading & Analytics
About The Position
Senior Data Scientist – Energy Trading & Analytics Overview Our client is a leading energy company seeking an experienced IT Software Developer Analyst with deep expertise in Data Science, Analytics, and Machine Learning for Power Commodity Trading. This is an exciting 12-month contract opportunity based in Juno Beach, FL, offering competitive compensation of $43/hour for professionals with 6-10 years of experience. Key Responsibilities Develop and deploy production-grade machine learning and analytics systems for power commodity trading operations Build sophisticated forecasting models for price, load, and renewable generation using time series analysis and advanced ML techniques Implement agentic AI frameworks and autonomous decision systems for trading support Create intelligent trading assistants using LLMs and RAG pipelines for market insights and report automation Design and maintain data infrastructure including ETL/ELT pipelines and data warehouses Develop optimization and scenario modeling solutions for trading positions and risk management Build comprehensive dashboards and visualization tools for market analysis Integrate weather data, grid conditions, and market signals into predictive systems Requirements Education & Experience: Master's or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics 5+ years of experience in machine learning or advanced analytics At least 2 years of experience in energy, power, or commodities markets Technical Skills: Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment Strong foundation in statistics, linear algebra, and optimization Experience with LLMs (GPT, Llama, Mistral) and RAG pipelines Proficiency in agentic AI frameworks (LangChain, LlamaIndex, CrewAI) Time series modeling expertise (ARIMA, Prophet, LSTM, XGBoost) Data engineering skills with tools like dbt, Airflow, Prefect Experience with data warehouses (DataBricks, Snowflake) Domain Knowledge: Understanding of power market dynamics and ISO/RTO markets (PJM, ERCOT, MISO, CAISO) Familiarity with trading instruments: DA/RT markets, FTRs, CRRs, PPAs, futures, swaps Knowledge of natural gas, renewables, and carbon markets Experience with regulatory and compliance data (FERC, EIA, ISO market data) What We Offer Competitive hourly rate of $43 12-month contract with potential for extension Opportunity to work with cutting-edge AI and ML technologies Exposure to complex energy trading operations Collaborative work environment with industry experts Professional development in the rapidly evolving energy sector Location: Juno Beach, FL 33408 (On-site required) Ready to advance your career in energy data science? Apply today!
Requirements
- Master's or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics
- 5+ years of experience in machine learning or advanced analytics
- At least 2 years of experience in energy, power, or commodities markets
- Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL
- Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment
- Strong foundation in statistics, linear algebra, and optimization
- Experience with LLMs (GPT, Llama, Mistral) and RAG pipelines
- Proficiency in agentic AI frameworks (LangChain, LlamaIndex, CrewAI)
- Time series modeling expertise (ARIMA, Prophet, LSTM, XGBoost)
- Data engineering skills with tools like dbt, Airflow, Prefect
- Experience with data warehouses (DataBricks, Snowflake)
- Understanding of power market dynamics and ISO/RTO markets (PJM, ERCOT, MISO, CAISO)
- Familiarity with trading instruments: DA/RT markets, FTRs, CRRs, PPAs, futures, swaps
- Knowledge of natural gas, renewables, and carbon markets
- Experience with regulatory and compliance data (FERC, EIA, ISO market data)
Responsibilities
- Develop and deploy production-grade machine learning and analytics systems for power commodity trading operations
- Build sophisticated forecasting models for price, load, and renewable generation using time series analysis and advanced ML techniques
- Implement agentic AI frameworks and autonomous decision systems for trading support
- Create intelligent trading assistants using LLMs and RAG pipelines for market insights and report automation
- Design and maintain data infrastructure including ETL/ELT pipelines and data warehouses
- Develop optimization and scenario modeling solutions for trading positions and risk management
- Build comprehensive dashboards and visualization tools for market analysis
- Integrate weather data, grid conditions, and market signals into predictive systems
Benefits
- Competitive hourly rate of $43
- 12-month contract with potential for extension
- Opportunity to work with cutting-edge AI and ML technologies
- Exposure to complex energy trading operations
- Collaborative work environment with industry experts
- Professional development in the rapidly evolving energy sector
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What This Job Offers
Career Level
Mid Level
