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Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.

Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.

SmartIPlaceJuno Beach, FL, United States
1 day ago
Job type
  • Full-time
  • Quick Apply
Job description

Note :

  • Need Local to FL with FL, I'd Only.
  • Need local within 40 miles.

Position Overview :

  • Candidate must have 2+ years' experience in energy market applications - (energy and utilities).
  • Client is seeking a Data Scientist (Power Marketing & Machine Learning) to join a large-scale project with an enterprise organization in the energy and utilities industry.
  • This role will focus on developing and deploying advanced analytics and machine learning models that optimize trading, forecasting, and decision-making across power markets.
  • The ideal candidate combines deep technical expertise in data science and AI with strong quantitative and energy market domain knowledge.

    • Key Responsibilities :

    Machine Learning & Advanced Analytics-

  • Design, develop, and deploy ML models for price forecasting, load prediction, and portfolio optimization.
  • Implement supervised, unsupervised, and reinforcement learning techniques to support trading and operational decisions.
  • Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation.
  • Fine-tune and evaluate generative AI models for quantitative and text-based analytics.

    • Agentic & Autonomous Decision Systems-

  • Develop intelligent trading assistants or agentic frameworks capable of monitoring and responding to real-time market data.
  • Implement planning, memory, and multi-agent collaboration features for autonomous analytical systems.
  • Define ethical and operational guardrails for autonomous AI tools.

    • Forecasting & Quantitative Modeling-

  • Build and maintain time-series forecasting models (ARIMA, LSTM, XGBoost, Prophet) for load, generation, and market price prediction.
  • Conduct optimization, scenario analysis, and stochastic modeling for trading, hedging, and dispatch strategy.
  • Integrate external data sources such as weather, ISO / RTO market feeds, and renewable output into predictive models.

    • Data Engineering & Infrastructure-

  • Develop and manage ETL / ELT pipelines using dbt, Airflow, or Prefect.
  • Work with cloud data platforms such as Databricks, Snowflake, and vector databases (FAISS, Pinecone, Weaviate).
  • Ensure data quality, lineage, and compliance within governed environments.

    • Analytics, Visualization & Communication-

  • Build intuitive dashboards and visual analytics using Power BI, Tableau, or Plotly.
  • Define KPIs to measure trading performance, market exposure, and forecast accuracy.
  • Translate complex analytical results into actionable insights for traders and executive leadership.

    • Statistical & Mathematical Modeling-

  • Apply advanced statistical and optimization techniques for regression, classification, and risk modeling.
  • Conduct uncertainty quantification and correlation analysis across power and commodity assets.
  • Analyze non-linear dependencies and volatility clustering in market behavior.

    • Required Qualifications :

  • Master's or Ph.D. in Data Science, Computer Science, Finance, Engineering, Applied Mathematics, or related field.
  • Minimum 6+ or more years of experience in machine learning or advanced analytics, with at least 2 years in energy market applications.
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) and SQL.
  • Experience deploying ML models in AWS, Azure, or GCP environments.
  • Solid foundation in statistics, linear algebra, and optimization.

    • Preferred Qualifications :

  • Expertise in energy and power market dynamics, including generation, transmission, and ISO / RTO market operations (PJM, ERCOT, MISO, CAISO).
  • Familiarity with trading products such as FTRs, PPAs, futures, and swaps.
  • Experience modeling LMP, congestion, renewables, and carbon markets.
  • Background in AI agent frameworks (LangChain, LlamaIndex, CrewAI) or LLM-based automation.
  • Strong communication skills and the ability to operate effectively in fast-paced, high-stakes environments.
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    Data Scientist • Juno Beach, FL, United States

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