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Associate Operations Research Scientist

NextEra Energy

Juno Beach, FLEntry
Sign in to applyVerified
Location
Juno Beach, FL
Work model
On-Site
Level
Entry
Posted

Skills

Machine LearningPython

About this role

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

Listing verified . Applications go through the company's official careers site.

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