Associate Operations Research Scientist
NextEra Energy Resources
About the Role
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. This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business.
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.
- 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.
Requirements & Tech Stack
- Mathematical Optimization: Mixed integer programming, linear programming.
- Monte Carlo Simulation.
- 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).
- Experience with machine learning.
- Abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”).
Qualifications
- Bachelor's Degree (BA/BS) in a STEM field – operations research, industrial engineering, or management science preferred.
- 1-3 years of industry experience building mixed integer programming models and Monte Carlo simulations.
- 0+ years of required experience.
- Master’s degree in the above is not required.
Relocation Provided: Yes, if applicable.