
Sr Data Scientist
Juno Beach, FLFull-timeSeen todaySeen in employer's feed today
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Job overview
NextEra Energy’s IT Forecasting team seeks a Senior Data Scientist to develop and deploy production forecasting models for load, solar, and wind generation. The role covers the model lifecycle, including feature engineering, weather-data integration, optimization, monitoring, and integration with internal systems and AWS. Forecasts support operational and energy-market decisions, with emphasis on scalable pipelines, accuracy, and time-sensitive delivery.
Skills & qualifications
Skills
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Full job description
Sr Data Scientist
Date: Nov 5, 2026
Location(s): Juno Beach, FL, US, 33408
Company: NextEra Energy
Requisition ID: 98582
NextEra Energy Resources is one of America’s largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!
Position Specific Description
The IT Forecasting team is seeking a Senior Data Scientist to lead the development and production deployment of advanced forecasting models for Load, Solar, and Wind generation across NextEra Energy 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:
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Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment
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Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams
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Works effectively within Agile frameworks and actively participates in scrum ceremonies
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Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards
Required Skills & Experience :
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Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)
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Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods)
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Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance
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API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering
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Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices
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Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization
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Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication
Preferred Skills & Experience :
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Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods
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Energy markets and renewable generation forecasting domain expertise
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Agile project management (Jira, Confluence)
Technical Competencies :
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Feature engineering with weather variables and domain-specific signals
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Model evaluation metrics (MAE, RMSE, MAPE)
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Automated data pipelines and version control (Git)
Model Development & Production:
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Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment
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Build automated retraining and evaluation frameworks with monitoring dashboards
Data & Infrastructure:
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Develop data connectors for weather APIs and data warehouse systems
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Design scalable pipelines for real-time and batch forecasting operations
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Create interactive dashboards and present insights to stakeholders
Job Overview
This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”).
Job Duties & Responsibilities
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Develops machine learning, optimization and other modeling solutions
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Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
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Works with big data and distributed computing platforms
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Develops software and contributes to product development
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Performs other job-related duties as assigned
Required Qualifications
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Bachelor’s Degree
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Experience: 4+ years
Preferred Qualifications
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Master’s Degree
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Doctoral Degree
NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Clickto learn more.
Employee Group: Exempt
Employee Type: Full Time
Job Category: Science, Research, and Technology
Organization: NextEra Energy Resources, LLC
Relocation Provided: Yes, if applicable
NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.
NextEra Energy and provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to, providing your name, telephone number and the best time for us to reach you.
NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies . Please see ourfor more information.
How this job compares
Set against the 4,929 open Data Scientist jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- Florida median$115–206K/yr81 salary ranges
- US median$55–70/hr142 hourly ranges
- Openings
- Olive Jobs lists 109 open Data Scientist jobs in Florida and 4,929 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,225 postings).
- Education
- This posting asks for a bachelor's degree; 2,422 of the 4,929 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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