Data Scientist with energy market/IT Programmer Analyst (8+ years Profile)

Job Role: Data Scientist with energy market/IT Programmer Analyst (8+ years Profile)

Work Location: Juno Beach Florida (Onsite)

Duration: Contract

Overview

Our client looking for someone who can apply Data Science, Machine Learning, and AI

(including Generative AI) to energy trading and power market analytics predicting

prices, optimizing trading positions, and automating analysis.

Key Responsibilities

• Develop and deploy AI/ML models (supervised, unsupervised, reinforcement learning) for market forecasting and optimization.
• Apply Generative AI and RAG (Retrieval-Augmented Generation) pipelines using GPT, Llama, LangChain, LlamaIndex, CrewAI, etc.
• Build agentic and autonomous decision systems that monitor market data, forecast outcomes, and act intelligently with ethical safeguards.
• Design advanced quantitative forecasting models (ARIMA, Prophet, LSTM, XGBoost) to predict power prices, load, and renewable generation.
• Integrate weather, grid, and market data into predictive analytics frameworks for trading optimization.
• Build and manage data pipelines (dbt, Airflow), and work with data warehouses (Databricks, Snowflake) and vector databases (FAISS, Pinecone).
• Deliver insights through visual analytics using Power BI, Tableau, or Plotly, defining KPIs and automating dashboards.
• Collaborate with traders, data engineers, and leadership to translate technical outputs into actionable business intelligence.

Required Qualifications

• Master s or PhD in Data Science, Computer Science, Engineering, Finance, or Applied Mathematics.
• 5+ years of experience in Machine Learning / Data Science, with 2+ years in the energy or power market domain.
• Strong programming experience in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL.
• Hands-on experience deploying models on AWS, Azure, or Google Cloud Platform.
• Strong foundation in statistics, mathematics, and optimization techniques.
• Proven expertise in feature engineering, interpretability, and bias control.

Preferred Skills

• Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI).
• Experience with LLMs and Generative AI model fine-tuning and evaluation.
• Understanding of Monte Carlo simulations, stochastic modeling, and scenario analysis.
• Experience implementing data governance, lineage, and version control for analytics pipelines.
• Ability to communicate complex technical insights clearly to non-technical stakeholders.

Domain Expertise (Preferred)

• Knowledge of power markets (PJM, ERCOT, MISO, CAISO) and energy trading instruments (DA/RT markets, FTRs, CRRs, PPAs).
• Understanding of renewables, carbon markets, LMP modeling, and regulatory datasets (FERC, EIA, ISO data).

Soft Skills

• Strong communication and collaboration abilities.
• Operates effectively in high-stakes, time-sensitive trading environments.
• Balances AI innovation with practical business needs of traders and analysts.