Stateside Spec Engineering jobs in the United States

NextEra Energy

Associate Operations Research Scientist

Juno Beach, FL · On-site · Mid

Discipline
Software
Industry
Energy

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Science, Research, and Technology

Operations research data scientist at NextEra Energy Resources in Juno Beach, FL, building optimization models for renewable supply chains. Requires 1+ year of experience with optimization and Monte Carlo simulations, and programming in R/Python with optimization languages.

Day shift · Relocation offered · 1+ years · BA / BS in a STEM field

Required

  • Mathematical optimization: mixed integer programming
  • Linear programming
  • Monte Carlo simulation
  • R and/or Python
  • Pyomo or AMPL
  • Gurobi or CBC or CPLEX or Xpress or GAMS

Preferred

  • Distributed computing
  • Big data
  • Machine learning
  • Operations research in energy/logistics
  • Experience with optimization solvers

Benefits

  • medical
  • PTO
  • 401k

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Employer description

Requisition ID:  97819 

 

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 Decision Science team within NextEra Analytics helps ensure renewables projects are built on-time and on-budget.  We are looking for an operations research data scientist to help us solve the most impactful supply chain problems in renewable energy.  In this cross-functional role you will leverage your experience in mathematical optimization and monte carlo simulation to build software tools that optimize inventory and reduce operational risk.  

 

Key Responsibilities:
•    Build simulation and optimization models to solve constantly evolving supply chain problems
•    Develop decision-support tools that impact supply chain strategy in partnership with software engineers and data engineers
•    Collaborate with stakeholders throughout the organization to improve operational efficiency and profitability
•    Help support and maintain existing models and tools owned by the team
•    Assist with data-pipelining in preparation for modeling

Skills:
•    Mathematical Optimization: Mixed integer programming, linear programming
•    Monte Carlo Simulation

Software Skills:
•    R and/or Python
•    One or more optimization algebraic modeling languages (e.g., Pyomo or AMPL)
•    One or more optimization solvers (e.g., Gurobi, CBC, CPLEX, Xpress, GAMS)

 

Ideal Experience:
•    1-3 years of industry experience building mixed integer programming models and monte carlo simulations

 

Credentials:
•    BA / BS in a STEM field – operations research, industrial engineering, or management science preferred
•    Master’s degree in the above is not required

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

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 Required Qualifications

Bachelor's Degree
Experience: 0+ years Preferred Qualifications

Master's Degree  

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

 

Employee Group:  Exempt
Employee Type:  Full Time
Job Category:  Science, Research, and Technology
Organization:  NextEra Energy Project Management, 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 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 [email protected], 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 our policy for more information.

 

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