Job Title: Operations Research Data Scientist 17368

Location: Remote

Rate: $46.48/hr

Contract Duration: 02/17/2026

Description
The Pricing and Analytics team 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
� Monte Carlo Simulation
� Mathematical Optimization: Mixed integer programming, linear programming
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)
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