Sr Data Scientist

• 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 and present insights to stakeholders, 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”)., * Develops machine learning, optimization and other modeling solutions
• Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
• Works with big data and distributed computing platforms
• Develops software and contributes to product development
• Performs other job-related duties as assigned

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:

• 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, * 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), * Bachelor’s Degree
• Experience: 4+ years

Preferred Qualifications

• Master’s Degree
• Doctoral Degree

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!, 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.