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Research Scientist Optimization Jobs (NOW HIRING)

... 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 Research scientists typically work in a laboratory environment, conducting ... Lead the formulation, development, and optimization of new programs, designs, and prototypes.

They are seeking a Research Scientist to develop algorithms and software for real-world ... optimization; Engineering: controls, estimation theory, digital signal processing, and machine ...

The Research Scientist role involves developing algorithms and software to solve scientific ... optimization; Engineering: controls, estimation theory, digital signal processing, and machine ...

They are seeking a Research Scientist to develop algorithms and software that solve scientific ... optimization; Engineering: controls, estimation theory, digital signal processing, and machine ...

Primary Responsibilities: • Lead the formulation, development, and optimization of new programs ... research scientists • Stay up to date on developments within their field through methods such as ...

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 ...

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

$148K - $195K/yr

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

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 ...

Senior Research Scientist

Waltham, MA

$106.30K - $135.40K/yr

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

Senior Research Scientist

Huntsville, AL

$97.10K - $123.70K/yr

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

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Research Scientist Optimization information

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$50.5K

$130.1K

$174K

How much do research scientist optimization jobs pay per year?

As of May 28, 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 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 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 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:
What job categories do people searching Research Scientist Optimization jobs look for? The top searched job categories for Research Scientist Optimization jobs are:
Infographic showing various Research Scientist Optimization job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Hybrid 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

New York, NY • On-site

Full-time

Posted 17 days ago


Percepta rating

7.3

Company rating: 7.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

13th of 71 rated call and contact centers


Job description

Who we are
Percepta's mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology. To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:
  • Forward-deployed expertise in engineering, product, and research
  • Mosaic, our in-house toolkit for rapidly deploying agentic workflows
  • Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more

Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives. Percepta is a direct partnership with General Catalyst, a global transformation and investment company.
About the role
As a Research Engineer/Scientist (Optimization) at Percepta, you'll work at the intersection of AI research and real-world impact. You will advance the frontier of decision-making for critical industries by combining modern machine learning with rigorous optimization research. You'll collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure our most sophisticated decision systems are both innovative and pragmatically useful in transforming how companies operate.
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.

You may be a good fit if you
  • 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.

We're working against an incredibly ambitious mission. It won't be easy but it will likely be the most fulfilling work of your career. If that excites you, let's chat, even if you don't meet all of the qualifications above.
Our Values
Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will.
Heart in the game: What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn't a 9-5, nor is it a job we're ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care.
Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do-the products we build, the partnerships we launch, the strategy we set-exists to make our customers successful. Delivery is the strategy.
Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos.
Intensity with kindness: We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable.

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