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Operations Research Optimization Jobs in New York

NYU Langone Health

Research Engineer

Manhattan, NY

This position will contribute towards the Operations Research Core of the Center for Surgical ... optimization Some experience building machine learning models using large-scale datasets, and ...

NYULMC

Research Engineer

New York, NY · On-site

This position will contribute towards the Operations Research Core of the Center for Surgical ... optimization Some experience building machine learning models using large-scale datasets, and ...

NYU Langone Health

Research Engineer

Manhattan, NY

$84K - $130K/yr

This position will contribute towards the Operations Research Core of the Center for Surgical ... optimization Some experience building machine learning models using large-scale datasets, and ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $184K/yr

... optimization, turning ecological function into an actionable design parameter. Our design team ... Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or ...

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Operations Research Optimization information

What is the difference between Operations Research Optimization vs Data Analyst?

AspectOperations Research OptimizationData Analyst
Required CredentialsDegree in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentAnalytical teams in manufacturing, logistics, or consulting firmsBusiness or corporate settings, focusing on data interpretation and reporting
Industry UsageSupply chain, transportation, manufacturing, logisticsFinance, marketing, healthcare, retail
Common Search/ComparisonOperations Research Optimization vs Data Analyst

Operations Research Optimization focuses on developing mathematical models to improve decision-making processes, often in logistics and manufacturing. Data Analysts interpret and visualize data to support business decisions. While both roles analyze data, Operations Research Optimization emphasizes optimization techniques and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

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Operations Research Optimization jobs near you
Infographic showing various Operations Research Optimization job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Research Engineer / Scientist - Optimization

Percepta

Manhattan, NY • On-site

Full-time

Re-posted 26 days ago

Percepta rating

5.9

Company rating: 5.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

37th of 71 rated call and contact centers

Job description

Job Summary:
Percepta is dedicated to transforming critical institutions through applied AI, focusing on industries such as healthcare, manufacturing, and energy. The Research Engineer/Scientist (Optimization) will work at the crossroads of AI research and practical application, driving advancements in decision-making by integrating machine learning with optimization research.
Responsibilities:
• Set and drive ambitious research programs that expand what’s achievable in data-driven decision-making.
• Invent new optimization-and-ML methods for high-impact problems such as planning, scheduling, routing, pricing, and inventory.
• Build high-fidelity simulators and rigorous benchmarks that mirror real-world constraints, uncertainty, and multi-objective trade-offs.
• Bridge research into practice by partnering with our engineers to rapidly prototype solutions and implement successful research ideas.
Qualifications:
Required:
• Hold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or have equivalent research/ industry experience.
• Have depth in operations or mathematical optimization (LP/MIP/MINLP, CP, stochastic/robust optimization, causal inference).
• Have experience in novel machine learning techniques for Operations Research.
• Are comfortable implementing and debugging large-scale optimization systems.
• Are motivated by impact in critical industries including healthcare, supply chains, energy, and finance.
• Have a proven track record of execution.
• Are an excellent communicator with both technical and non-technical stakeholders.
• Enjoy extreme ownership.
• Are passionate about AI’s transformative potential.
Company:
Percepta (a GC Transformation Company) combines applied AI engineering with frontier research to transform enterprises. Founded in 2025, the company is headquartered in New York, NY, US, , with a team of 11-50 employees. The company is currently Early Stage.

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