

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.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
480
-
๐๏ธ - Date
April 7, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
On-site
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
Juno Beach, FL
-
๐ง - 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 developmentโfrom 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
โข Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment
โข Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams
โข Works effectively within Agile frameworks and actively participates in scrum ceremonies
โข Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards
Job Overview
Required Skills & Experience:
โข Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)
โข Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods)
โข Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance
โข API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering
โข Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices
โข Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization
โข Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication
Preferred Skills & Experience
โข Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods
โข Energy markets and renewable generation forecasting domain expertise
โข Agile project management (Jira, Confluence)
Technical Competencies
โข Feature engineering with weather variables and domain-specific signals
โข Model evaluation metrics (MAE, RMSE, MAPE)
โข Automated data pipelines and version control (Git)
Job Duties & Responsibilities
Model Development & Production:
โข Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment
โข Build automated retraining and evaluation frameworks with monitoring dashboards
Data & Infrastructure
โข Develop data connectors for weather APIs and data warehouse systems
โข Design scalable pipelines for real-time and batch forecasting operations
โข 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
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 developmentโfrom 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
โข Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment
โข Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams
โข Works effectively within Agile frameworks and actively participates in scrum ceremonies
โข Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards
Job Overview
Required Skills & Experience:
โข Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)
โข Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods)
โข Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance
โข API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering
โข Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices
โข Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization
โข Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication
Preferred Skills & Experience
โข Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods
โข Energy markets and renewable generation forecasting domain expertise
โข Agile project management (Jira, Confluence)
Technical Competencies
โข Feature engineering with weather variables and domain-specific signals
โข Model evaluation metrics (MAE, RMSE, MAPE)
โข Automated data pipelines and version control (Git)
Job Duties & Responsibilities
Model Development & Production:
โข Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment
โข Build automated retraining and evaluation frameworks with monitoring dashboards
Data & Infrastructure
โข Develop data connectors for weather APIs and data warehouse systems
โข Design scalable pipelines for real-time and batch forecasting operations
โข 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






