Sr Data Scientist

NextEra Energy
Juno Beach, FL, United States
3 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Confluence JIRA Big Data Cloud Computing Software Code Optimization Information Engineering Data Integration
+24 more
Data Warehousing Disaster Recovery Python (Programming Language) NumPy Software Deployment SQL Databases Systems Integration Management of Software Versions Feature Engineering Uncertainty Quantification (UQ) Model Validation Git Pandas Scikit Learn Infrastructure Automation Frameworks Statistics Packages Xgboost Performance Monitor Plotly Machine Learning Operations Functional Programming Streamlit Framework Software Version Control Data Pipelines

Job description

  • 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

Requirements

Data Science, Electricity, Economic Growth, Customer Support/Service, Wholesale Industry, Forecasting, System Operations, Energy Management, Data Science, Marketing, 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)

About the company

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!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…