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Lead Data Scientist -- Juno Beach, FL -- 68120

Job

PRIMUS

Juno Beach, FL (In Person)

$140,400 Salary, Full-Time

Posted 4 weeks ago (Updated 3 weeks ago) • Actively hiring

Expires 5/28/2026

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Job Description

Lead Data Scientist
  • Juno Beach, FL
  • 68120 (Juno Beach, FL) | 04/08/2026 Easy Apply
Job Code :
JPC
  • 68120 Job Description Lead Data Scientist
  • 68120 Pay Range
  • $65•$70/hr We have an immediate long-term opportunity with one of our prime clients for a position Lead Data Scientist to work in Juno Beach, FL on Onsite basis.
Position Specific Description The IT Forecasting team is seeking a Principal Data Scientist to lead the development and production deployment of advanced forecasting models for Load, Solar, and Wind generation across company's operations. This role supports critical decision-making for Energy Management (EMT), Power Marketing (PMI), and System Operations (Sysops FPL). This position will engage in end-to-end model development—from conception through production deployment, including advanced feature engineering, weather data integration via APIs, model optimization, and performance monitoring. The ideal candidate will design production-ready forecasting solutions integrated with internal systems, AWS cloud infrastructure, implementing robust error handling, alerting mechanisms, and recovery procedures. The successful candidate should possess deep expertise in time-series forecasting, machine learning operations, and building scalable data pipelines. They must demonstrate the ability to transform complex datasets into actionable forecasts that drive real-time operational decisions in the energy sector. We are looking for someone who has a passion for solving challenging forecasting problems and can deliver production-grade solutions in a dynamic operational environment with stringent accuracy requirements and time-sensitive obligations.
Key Expectations:
  • Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment
  • Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams
  • Works effectively within Agile frameworks and actively participates in scrum ceremonies
  • Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards Job Overview
Required Skills & Experience:
    Python Expertise:
    Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)
      Time-Series Forecasting:
      Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods)
        Production Deployment:
        Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance
          API Integration:
          Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering
            Cloud & Infrastructure:
            Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices
              Database Management:
              Proficiency with SQL databases and experience with large-scale data queries and optimization
                Dashboard Development:
                Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication
                Preferred Skills & Experience:
                • Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods
                • Energy markets and renewable generation forecasting domain expertise
                • Agile project management (Jira, Confluence)
                Technical Competencies:
                • Feature engineering with weather variables and domain-specific signals
                • Model evaluation metrics (MAE, RMSE, MAPE)
                • Automated data pipelines and version control (Git) Job Duties & Responsibilities
                Model Development & Production:
                • Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment
                • Build automated retraining and evaluation frameworks with monitoring dashboards
                Data & Infrastructure:
                • Develop data connectors for weather APIs and data warehouse systems
                • Design scalable pipelines for real-time and batch forecasting operations
                • Create interactive dashboards (Streamlit) and present insights to stakeholders
                • ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2

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