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Operation Research Data Scientist Jobs in Raleigh, NC

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning ... operational excellence, and customer success.

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

Research Triangle Park, NCtime type: Full timeposted on: Posted 5 Days Agojob requisition id ... and operations modeling. Operating at the intersection of applied machine learning, business ...

Embedded Data Scientist Full-time Morrisville, NC, US Exclusive confidential search -- details ... You will work closely with researchers and engineering teams to compress, characterize, and deploy ...

The Data Scientist position is within an analytical unit, applying scientific and technical findings to risk analyses, policy decisions, operational data management, and analyses. Responsible for ...

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

... operations problems. * Develop predictive maintenance and degradation models for utility ... Data Science, or a related quantitative field. * 3+ years of experience (with Bachelor's), 2+ years ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... You will research and develop high-quality demos to illustrate the application of computer vision ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... You will research and develop high-quality demos to illustrate the application of computer vision ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... You will research and develop high-quality demos to illustrate the application of computer vision ...

Serve as a key liaison between clinical research operations, laboratory teams, data scientists, and investigators. * Facilitate seamless integration between clinical trial activities and laboratory ...

Serve as a key liaison between clinical research operations, laboratory teams, data scientists, and investigators. * Facilitate seamless integration between clinical trial activities and laboratory ...

A Bachelor's or Master's degree in data science, statistics, mathematics, computer science, engineering, economics, operations research, or another quantitative or technical discipline. * Significant ...

New

... AI platform that powers intelligent research, drafting, and reasoning capabilities for ... Our expertise in strategy, design, execution and operations unlocks business value through a range ...

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Operation Research Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do operation research data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for operation research data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is an operation research data scientist?

An Operations Research Data Scientist is a professional who combines advanced analytical, statistical, and mathematical modeling techniques to solve complex business problems and optimize processes. They utilize tools from operations research, such as linear programming, simulation, and optimization algorithms, alongside data science skills like machine learning and data analysis. Their goal is to help organizations make data-driven decisions that improve efficiency, reduce costs, and enhance overall performance.

How do operation research data scientists typically collaborate with cross-functional teams to implement data-driven solutions?

Operation Research Data Scientists often work closely with colleagues from engineering, product management, and business analytics to translate complex mathematical models into actionable strategies. They participate in regular meetings to align on project goals, share analytical findings, and integrate optimization algorithms into existing systems. Collaboration involves clear communication of technical concepts to non-technical stakeholders and iteratively refining solutions based on feedback, ensuring that their work delivers tangible value to organizational objectives.

What are the key skills and qualifications needed to thrive as an operation research data scientist, and why are they important?

To thrive as an Operations Research Data Scientist, you need a solid background in mathematics, statistics, optimization, and computer science, often supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with optimization libraries (like Gurobi or CPLEX), and familiarity with data analysis platforms are typically required. Strong problem-solving abilities, communication skills, and business acumen set standout professionals apart in this role. These competencies are crucial for developing actionable solutions to complex business problems and effectively communicating insights to stakeholders.
What cities near Raleigh, NC are hiring for Operation Research Data Scientist jobs? Cities near Raleigh, NC with the most Operation Research Data Scientist job openings:
Infographic showing various Operation Research Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Lead Exposure Data Scientist

UL Research Institutes

Morrisville, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Job Description

We have an exciting opportunity for a Lead Exposure Data Scientist at UL Research Institutes, based in our Morrisville, NC office.


The Lead Exposure Data Scientist will be responsible for assisting in the development and maintenance of the data analysis infrastructure to support Chemical Insights' mission of advancing human and environmental health. This role focuses on developing data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and applying advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets. The Lead Exposure Data Scientist works closely with Chemical Insights scientists and external collaborators to deliver high-quality scientific data that informs chemical exposure assessment, risk assessment, regulatory decisions, and public health guidance.


UL Research Institutes:

At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.


Build a safer, more secure, and sustainable future with us. Join us and work with our Chemical Insights Research Institute, teams who conduct the research required to produce that knowledge and put it into practice.


Chemical Insights Research Institute:

The Chemical Insights Research Institute (CIRI) contributes to the protection of public health and well-being by conducting scientific research. Our research and initiatives let people around the world know what chemicals are in the air we breathe and how they affect human health and the planet. We share our research and knowledge through information and application tools with leaders in the scientific, business, and policy communities to raise awareness of human health risks stemming from emerging technologies. To learn more, visit: chemicalinsights.org


What you'll learn and achieve:

As the Lead Exposure Data Scientist, you will play a key role in the rapid growth of UL as you:

  • Design and implement cutting-edge data science methods for chemical exposure.
  • Work as part of a team to extract, curate, and harmonize structured and unstructured chemical exposure, product ingredient, biomonitoring, and environmental contamination data.
  • Develop and implement quality assurance plans for data curation projects.
  • Design and implement artificial intelligence and machine learning solutions to automate data extraction, curation, and quality evaluation of structured and unstructured data.
  • Develop and implement data mapping and extraction, transformation, and load (ETL) pipelines for efficient exchange of data between established chemical safety and exposure data systems (e.g., IUCLID, MMDB, CPDat).
  • Develop statistical and machine learning models to predict chemical functional use and exposure pathways.
  • Collaborate with exposure scientists, toxicologists, analytical chemists, and toxicokinetic scientists to provide solutions for linking cross-disciplinary data, computational modeling, and interpreting experimental results.
  • Work closely with software and database engineers to provide high-quality chemical exposure data for on-line software applications and decision support tools.
  • Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders.
  • Stay up to date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices.
  • Present research findings at scientific conferences, stakeholder meetings, and technical forums.
  • Serve as co-author on peer-reviewed publications and technical reports.
  • Assist in writing research proposals and securing funding from internal and external sources.
  • Provide technical support and troubleshooting for data-related issues.
  • Perform other duties as assigned.

What you'll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.

  • People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.
  • Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
  • Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:


While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

  • Proficiency in programming and statistical languages (e.g. Python, Java, R).
  • Knowledge of machine learning, statistical modeling, and data visualization tools.
  • Working knowledge of exposure science, chemistry, and toxicokinetics.
  • Understanding of relational and non-relational database systems.
  • Proven ability to participate in multidisciplinary teams on complex projects in a research setting.
  • Demonstrated problem-solving and analytical capabilities, with the ability to adapt to new challenges and prioritize competing demands.
  • Willingness to learn and research new concepts and technologies.
  • Ability to communicate with technical and non-technical internal stakeholders.
  • Skilled in versioning best practices, i.e. GitHub, Code Commit.

Professional education and experience requirements for the role include:

  • Master's Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 5 years of relevant experience; or
  • Doctoral Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 3 years of relevant experience.
  • Solid technical knowledge and experience working with R, Java or Python programming language, relational (SQL and Postgres) databases.
  • Demonstrated experience in developing data extraction and curation workflows for structured and unstructured chemical exposure data in a research environment.

About UL Research Institutes and UL Standards & Engagement

UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.


To learn more, visit our websites UL.org and ULSE.org.


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