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Research Scientist Optimization Jobs (NOW HIRING)

This role applies mathematical optimization, operations research, data science, and cloud-based engineering practices to help deliver the North American Vehicle Supply Chain vision of providing the ...

... optimization; * Engineering: controls, estimation theory, digital signal processing, and machine ... A Research Scientist should have effective written and verbal communication skills, with the ...

... optimization; * Engineering: controls, estimation theory, digital signal processing, and machine ... A Research Scientist should have effective written and verbal communication skills, with the ...

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; Probability: statistics and random processes. • A Research Scientist should have ...

Research Scientist

Huntsville, AL · On-site

$165K - $218K/yr

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Research Scientist

Fort Collins, CO · On-site

$165K - $218K/yr

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Research Scientist

Broomfield, CO · On-site

$126K - $167K/yr

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

The position is responsible for designing, optimizing, and implementing experimental approaches ... The Research Scientist will oversee daily laboratory operations, maintain specialized research ...

Senior Research Scientist

Fort Collins, CO · On-site

$97K - $124K/yr

... optimization; * Engineering: controls, estimation theory, digital signal processing, and machine ... A Research Scientist should have effective written and verbal communication skills, with the ...

Research Scientist Apply now Back to search results Job no: 533982 Work type: Research Faculty ... Contribute to the development and optimization of laboratory protocols and techniques. Mentor and ...

... and optimization of project protocols and timelines Serve as a research ethics resource for ... D. in science, engineering, liberal arts, or related discipline Background in and understanding of ...

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Research Scientist Optimization information

See salary details

$50.5K

$130.1K

$174K

How much do research scientist optimization jobs pay per year?

As of Jul 13, 2026, the average yearly pay for research scientist optimization in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist in Optimization, and why are they important?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What does a Research Scientist in Optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What types of projects and collaborations can a Research Scientist in Optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

More about Research Scientist Optimization jobs
What cities are hiring for Research Scientist Optimization jobs? Cities with the most Research Scientist Optimization job openings:
What states have the most Research Scientist Optimization jobs? States with the most job openings for Research Scientist Optimization jobs include:
Infographic showing various Research Scientist Optimization job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Research Engineer / Scientist - Optimization

Research Engineer / Scientist - Optimization

Percepta

Manhattan, NY • On-site

Full-time

Posted 3 days ago


Percepta rating

6.6

Company rating: 6.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

26th of 72 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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