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Principal Data Scientist

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Florida Power & Light
Full Time, Seasonal/Temporary position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Requisition : 97876

Position Specific Description

The FPL Grid Optimization team is looking for a Principal Data Scientist to help develop the analytical framework used to evaluate grid operating strategies, optimization performance, and the economic and reliability impacts of planning and dispatch decisions.

The Data Scientist – Grid Optimization will use historical system data, optimization models, and scenario analysis to challenge existing operating assumptions and identify opportunities to improve generation commitment, maintenance scheduling, reserve strategies, fuel usage, battery utilization, and other system decisions.

The role will be responsible for backtesting operational strategies, developing forward‑looking planning scenarios, and quantifying the cost and reliability implications of alternative decisions. This individual will work closely with Grid Optimization, System Operations, Power Generation, Energy Marketing & Trading, and application development teams to turn analytical findings into changes in operating criteria, model inputs, and optimization methodologies.

The successful candidate will combine strong quantitative skills with an understanding of economics, optimization, and electric power system operations.

This position is based at our LeJeune Flagler Office in Miami, FL.

Job Overview

This position is responsible for leading the development of algorithms, modeling techniques, and optimization methods that support many aspects of Next Era 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
  • Provide thought leadership, set technical strategy, and identify possible uses of data science methods
  • Explain methods and results to upper‑level executives
  • Develop machine learning, optimizations or other modeling solutions
  • Oversee related employee work, learn new techniques being developed
  • 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
Required Qualifications
  • Bachelor's Degree
  • Experience:

    6+ years
Preferred Qualifications
  • Master's Degree
  • Doctoral Degree

Employee Group:
Exempt

Employee Type:
Full Time

Job Category:
Science, Research, and Technology

Organization:
Florida Power & Light Company

Relocation Provided:
Yes, if applicable

Next Era 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.

Next Era Energy 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 recruiting-coordinator.sh, providing your name, telephone number and the best time for us to reach you.

Next Era 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.

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