SIDRAM TECHNOLOGIES

Data Scientist

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Scientist in Juno Beach, Florida, with a contract length of unspecified duration. The pay rate is also unspecified. Key skills include Python, time-series forecasting, AWS, and API integration, with energy sector experience preferred.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
480
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๐Ÿ—“๏ธ - Date
April 7, 2026
๐Ÿ•’ - Duration
Unknown
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๐Ÿ๏ธ - Location
On-site
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
Juno Beach, FL
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๐Ÿง  - Skills detailed
#Scrum #Agile #Plotly #Data Science #Data Engineering #Databases #Forecasting #Libraries #ML Ops (Machine Learning Operations) #Jira #Model Optimization #GIT #Database Management #Security #ML (Machine Learning) #Lambda (AWS Lambda) #EC2 #Pandas #Batch #Datasets #Monitoring #API (Application Programming Interface) #Scala #Version Control #Data Warehouse #Model Evaluation #Data Pipeline #NumPy #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Data Integration #AWS (Amazon Web Services) #Deployment #Streamlit #Cloud #Project Management #Python #SageMaker #SQL (Structured Query Language)
Role description
Position : Data Scientist Location : Onsite โ€“ 5 Days / Week โ€“ Juno Beach Florida JD:- Principal Data Scientist - Load & Renewable Generation Forecasting 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 .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 developmentโ€”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 โ€ข Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment โ€ข Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams โ€ข Works effectively within Agile frameworks and actively participates in scrum ceremonies โ€ข Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards Job Overview Required Skills & Experience: โ€ข Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels) โ€ข Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods) โ€ข Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance โ€ข API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering โ€ข Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices โ€ข Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization โ€ข Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication Preferred Skills & Experience โ€ข Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods โ€ข Energy markets and renewable generation forecasting domain expertise โ€ข Agile project management (Jira, Confluence) Technical Competencies โ€ข Feature engineering with weather variables and domain-specific signals โ€ข Model evaluation metrics (MAE, RMSE, MAPE) โ€ข Automated data pipelines and version control (Git) Job Duties & Responsibilities Model Development & Production: โ€ข Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment โ€ข Build automated retraining and evaluation frameworks with monitoring dashboards Data & Infrastructure โ€ข Develop data connectors for weather APIs and data warehouse systems โ€ข Design scalable pipelines for real-time and batch forecasting operations โ€ข Create interactive dashboards (Streamlit) and present insights to stakeholders Rachael IT Services | Development | Staffing URL: http:/www.sidramtech.com | Email: rachael@sidramtech.com Direct: 4705239688 Led by 25+ Years of Industry Experience E-Verifyยฎ is a registered trademark of the U.S. Department of Homeland Security. SIDRAM TECHNOLOGIES participates in the Employment Eligibility Verification Program (E-Verify) offered by USCIS. www.dhs.gov/E-Verify