Percepta
Research Scientist – Optimization
$200K–$400K
New York City +1 · On-site · Full-time · Posted Oct 2, 2026
- Location
- New York City
Boston - Education
- PhD in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics, or equivalent research/industry experience.
About the job
Develop and deploy optimization methods that turn forecasts and operational data into decisions under real-world constraints, from research benchmarks through production systems.
What you'll do
- Lead research programs and develop optimization methods for planning, scheduling, routing, pricing, and inventory.
- Build simulators and replayable benchmarks to evaluate decisions against real-world constraints and uncertainty.
- Move validated methods into fast production systems and partner with engineers on customer deployments.
What they ask for
- Depth in operations or mathematical optimization, including LP/MIP/MINLP, CP, or stochastic/robust optimization.
- Experience with machine-learning methods for Operations Research, including test-time search and reinforcement learning for sequential decision-making.
- Ability to implement or debug real-time, large-scale optimization systems and/or design benchmarks with defensible ground truth.
- Proven execution track record and strong communication with technical and non-technical stakeholders.
Pay
$200K – $400K (USD; base salary)
Tools
LP, MIP, MINLP, CP
AI focus
Research and apply AI methods—including test-time search and reinforcement learning—to operational decision-making and optimization; validate and deploy these methods in production.
Model-written summary · the original posting is authoritative