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Research Scientist Optimization Jobs (NOW HIRING)

Amcor

Sr. Data Scientist - Optimization

Neenah, WI · On-site

... Scientist in Amcor Core R&D, you'lllead the development of models and advanced analytics tools ... Champion the digital transformation of R&D, scaling advanced analytics, optimization, AI, and ...

Metron

Research Scientist

Reston, VA · On-site

We routinely apply stochastic processes, statistical inference, optimization and scheduling, models ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

Collate

AI Research Scientist

San Francisco, CA · On-site

What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Filtrous

Research Scientist

Saint Petersburg, FL · On-site

Research Scientist Turn Innovation into Products That Labs Depend On Why This Role Matters The next ... Design and execute experimental workflows for the discovery, optimization, and validation of new ...

Collate

AI Research Scientist

San Francisco, CA · On-site

What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

NorthEastern

Research Scientist

Burlington, MA · On-site

Master's degree with a focus on ML/AI, dataintensive systems, network science, optimization, or related areas. * Experience contributing to government, defense, or securityrelated R&D programs ...

Metron

Research Scientist

Reston, VA · On-site

We routinely apply stochastic processes, statistical inference, optimization and scheduling, models ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

Amazon

Research Scientist II - AMZ9898222

New York, NY · On-site

$158K - $212K/yr

Research Scientist II Job Location: New York, New York Job Number: AMZ9898222 Position ... Design optimal or near optimal solution methodologies to be used by in-house decision support tools ...

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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 Sep 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 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 are the key skills and qualifications needed to thrive as a research scientist in optimization?

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 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.

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Research Scientist Optimization jobs near you
Infographic showing various Research Scientist Optimization job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Quantum Algorithms Scientist - Optimization

Washington, DC • On-site

Phasecraft
See more jobs at Phasecraftexternal

$120K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Conduct theoretical and/or applied research or software development for quantum algorithms related to combinatorial optimization and constraint satisfaction problems.

  • Collaborate with team members and stakeholders to apply quantum computing to optimization challenges and contribute to research publications, presentations, or patent applications.

  • Work across different aspects of quantum algorithms and support the growth and success of Phasecraft.

Job description

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2023 we completed a $17m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global.

Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, Quantinuum and QuEra – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.

 We are looking to hire a Quantum Algorithms Scientist to join our team. The ideal candidate will have experience in the theory and/or implementation of optimization algorithms for gate-model quantum computers, or in classical optimization or constraint satisfaction algorithms; or otherwise strong evidence of potential to contribute to these areas. Their work will initially focus on these topics, though they will have the opportunity to grow a portfolio of research activity across the breadth of Phasecraft’s interests. A background in quantum computing is not necessarily required, though in this case a successful candidate will have evidence of the ability to design and implement advanced algorithms for optimization and/or constraint satisfaction.

Job Description

  • Undertake theoretical and/or applied research and/or software development for near-term quantum computing applications, with an initial focus on quantum algorithms and software for combinatorial optimization and/or constraint satisfaction problems.
  • Help to author publications, presentations, patent applications and similar resulting from the research.
  • Work collaboratively in a small team made up of full-time staff and affiliated PhD students.
  • Work with stakeholders on collaborations applying quantum computing to optimization problems.
  • Other activities as required to support the growth and success of Phasecraft.

Requirements

Essential criteria:

  • Expertise in one or more of:
    o quantum information and/or computation theory
    o theory and implementation of classical algorithms for optimization or constraint satisfaction
    o quantum algorithm design and implementation
    o mathematical analysis of algorithms
  • Proven track record of working independently on research projects.
  • Deep expertise and an excellent publication track-record in relevant discipline.
  • Excellent written and verbal communication skills and the ability to disseminate research results to technical and non-technical audiences.
  • Flexibility to work across different aspects of quantum algorithms, and to work on other tasks required to support the growth and success of the company.
  • An interest in near-term quantum computing

Desirable criteria:

  • PhD (or soon to receive one) in quantum information, quantum computation theory, theoretical computer science, or closely related field.
  • Coding in quantum software development environments (e.g. Cirq, QuEST, Qiskit).
  • Experience of implementing algorithms on quantum hardware.
  • Strong publication track-record in relevant discipline.
  • Software development skills.
  • Enthusiasm for learning and novel research.

Benefits

  • The annual compensation range for this role is $120,000 - $175,000, depending on experience.
  • Health, Vision, Dental, Life Insurance.
  • 401(k) Plan with company matching.
  • Unlimited annual leave.