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 up to $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:
- Masters 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 up to $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!
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 bas...
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 up to $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:
- Masters 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 up to $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!
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