Welcome to ORPath!
Here’s your curated list of Operations Research job openings.
🗓️ Job Listings
• Lyft
Data Scientist, Algorithms Pricing (Optimization)
Canada (Hybrid)
Apply here• Shield AI
Principal Operational Analysis Lead
Estados Unidos (Remote)
Apply here• Nextmv (Open Systems)
Data Scientist / Operations Research
Estados Unidos (Remote)
Apply here• Atom Computing
Senior Optimization Engineer (Operations Research)
Berkeley, CA, EUA (Hybrid)
Apply here• Gridmatic
Optimization Research Scientist
Cupertino, CA, EUA (Hybrid)
Apply here• DB (Data Business)
Cientista de Dados Pl/Sr – Segmento Industrial/Financeiro
Brasil (Remote)
Apply here• Laminaar Aviation Infotech
Operations Research and Optimization
San Francisco, CA, USA (On Site)
Apply here• EverDriven
Operations Research Engineer
Greenwood Village, CO, USA (Hybrid)
Apply here• Hadrian Automation, Inc
Operations Research Scientist
Los Angeles, CA, USA (On Site)
Apply here• FedEx
Operations Research Scientist II
USA (On Site)
Apply here
🧮 Interesting Reads
• Large Language Models and Operations Research: A Structured Survey
Explores how LLMs can assist in modeling, solving, and automating OR tasks.
Read here
• Operational Research Trends in a Changing World
Overview of 2025 directions in OR — AI integration, sustainability, and hybrid methods.
Read here
• Making Operations Research More Accessible
Discusses initiatives to democratize OR education and tools worldwide.
Read here
🤖 Top 4 OR Tools You Should Know
• OR-Tools
Google’s open-source suite for combinatorial and mathematical optimization.
Includes solvers for routing, flows, LP/MIP, and constraint programming (Python & C++).
More info
• HiGHS
A modern open-source solver for LP, MIP, and QP problems (MIT License).
Written in C++ with APIs for Python, Julia, and others — lightweight, fast, and reliable.
More info
• COIN-OR
A community-driven ecosystem of open-source tools for Operations Research.
Includes popular solvers like CLP, CBC, and Ipopt for linear and nonlinear problems.
More info
• alpaqa
A C++ framework for non-convex optimization and optimal control (NMPC).
Implements an augmented Lagrangian method with a Python interface.
More info
Want to chat about what a career in Operations Research looks like?
Until next time 👋
ORPath newsletter
Note: there’s no guarantee that the job openings will still be available by the time you read this email.