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Operation Research Data Scientist Jobs in Raleigh, NC

CYNET SYSTEMS

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.

Redhat

Data Scientist

Raleigh, NC · On-site +1

Review scientific literature and emerging AI research to evaluate and incorporate advanced modeling ... Formulate, document, and recommend data-driven AI solutions aligned with operational and revenue ...

New

NCSU

Research Assistant

Raleigh, NC · On-site

$18.75 - $25.75/hr

... operations. * Contribute intellectually to publications and grant development and assist the PI with research direction, methodology, and interpretation of complex scientific data. If you are a ...

Munich Re

Actuarial Data Scientist (FCAS)

Cary, NC · On-site +1

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Math and Operation Research double major. We are proud to offer our employees, their domestic ...

Munich Re

Actuarial Data Scientist (FCAS)

Durham, NC · On-site +1

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Math and Operation Research double major. We are proud to offer our employees, their domestic ...

Munich RE

Actuarial Data Scientist (FCAS)

Cary, NC · On-site

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Math and Operation Research double major. We are proud to offer our employees, their domestic ...

Munich RE

Actuarial Data Scientist (FCAS)

Durham, NC · On-site

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Math and Operation Research double major. We are proud to offer our employees, their domestic ...

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Showing results 1-20

All JobsOperation Research Data Scientist JobsOperation Research Data Scientist Jobs in Raleigh, NC

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 Sep 4, 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 are popular job titles related to Operation Research Data Scientist jobs in Raleigh, NC?

For Operation Research Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Operation Research Data Scientist jobs in Raleigh, NC look for?

The top searched job categories for Operation Research Data Scientist jobs in Raleigh, NC are:

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:

Operation Research Data Scientist jobs near you
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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Data Scientist

CYNET SYSTEMS

Cary, NC • On-site

$65 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 8 days ago

Job description

Job Overview:
Pay Range: $65.00hr - $70.00hr
Requirement/Must Have:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud).
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML.
  • Strong understanding of statistics and mathematics for data analysis and prediction.
  • Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes.
  • Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results.
  • Strong problem-solving skills and ability to communicate effectively with stakeholders.
Responsibilities:
  • Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
  • Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Skills:
  • Machine Learning.
  • Artificial Intelligence.
  • Python.
  • SQL.
  • GenAI.
  • Azure ML.
  • Power BI.
  • Dominos.
  • Predictive Modeling.
  • ML-Ops.
  • Data Analysis.
  • Statistics.
Qualification And Education:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
     
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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