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

Juno Beach, FL - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Note :

Need Local to FL with FL Id 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 :

Masters 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.

Note : Need Local to FL with FL Id 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...