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Operations Research Engineer Jobs in Georgia (NOW HIRING)

Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or ...

Bachelor's or Master's in Industrial Engineering, Supply Chain, Operations Research, or related field * Experience in logistics, warehousing, or manufacturing environments * Strong background in ...

Bachelor's or Master's in Industrial Engineering, Supply Chain, Operations Research, or related field * Experience in logistics, warehousing, or manufacturing environments * Strong background in ...

Bachelor's or Master's in Industrial Engineering, Supply Chain, Operations Research, or related field * Experience in logistics, warehousing, or manufacturing environments * Strong background in ...

Research, design, develop, test and evaluate software and firmware for Cyberspace Operations. Apply principles and techniques of computer science and computer engineering to build software and ...

Showing results 21-40

Operations Research Engineer information

See Georgia salary details

$30.4K

$71.8K

$114K

How much do operations research engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for operations research engineer in Georgia is $71,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $79,400.00 per year, depending on experience, location, and employer.

What does an operations research engineer do?

An Operations Research Engineer applies mathematical modeling, statistical analysis, and optimization techniques to solve complex business and engineering problems. They use data-driven decision-making to improve efficiency, reduce costs, and enhance system performance in industries such as logistics, manufacturing, finance, and transportation. By leveraging algorithms, simulations, and predictive analytics, they help organizations make informed decisions. Their work often involves programming, data analysis, and collaboration with cross-functional teams to implement practical solutions.

What are the key skills and qualifications needed to thrive as an operations research engineer?

To excel as an Operations Research Engineer, you need a solid grounding in mathematics, statistics, optimization, and analytical problem-solving, typically supported by a relevant engineering or quantitative degree. Proficiency with tools such as MATLAB, Python, R, CPLEX, or simulation software, as well as familiarity with data analysis platforms, is commonly required. Strong communication, teamwork, and adaptability are vital soft skills for presenting findings and collaborating across multidisciplinary teams. Mastery of these abilities is crucial to developing effective solutions that improve operational efficiency in complex business environments.

What does a typical day look like for an operations research engineer?

A typical day for an Operations Research Engineer involves identifying operational challenges, gathering and analyzing data, developing mathematical models, and simulating scenarios to propose improvements. You will often collaborate closely with cross-functional teams—including data scientists, engineers, and business managers—to understand requirements and implement optimal solutions. Expect to spend time both independently conducting research and attending meetings to present your findings and receive feedback. The role provides a good balance of technical work, problem-solving, and teamwork, making each day dynamic and intellectually engaging.

What are the most commonly searched types of Operations Research Engineer jobs in Georgia? The most popular types of Operations Research Engineer jobs in Georgia are:
What job categories do people searching Operations Research Engineer jobs in Georgia look for? The top searched job categories for Operations Research Engineer jobs in Georgia are:
What cities in Georgia are hiring for Operations Research Engineer jobs? Cities in Georgia with the most Operations Research Engineer job openings:
Infographic showing various Operations Research Engineer job openings in Georgia as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $71,797 per year, or $34.5 per hour.

Sr. Data Scientist

ARC Group

Atlanta, GA

Full-time

Re-posted 22 days ago


Job description

Sr. Data Scientist (100% remote)
ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met.
This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems.
This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering).
Data Scientist Responsibilities:
  • Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements
  • Develop data models top optimize and improve work of e-commerce functions
  • Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance
  • Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance
  • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics
  • Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape
Data Scientist Requirements:
  • Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science).
  • Must have data modeling, predictive analytics and/or machine learning experience
  • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software
  • MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS
  • Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI
  • This is not a developer position, but you must possess strong SQL coding skills
  • Experience in data mining and understanding of machine-learning and operations research is an advantage
  • Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills
Nice to have:
  • Experience in data mining and understanding of machine-learning and operations research is an advantage
  • Proficiency in Excel, PowerPoint, MS Access is a plus
  • Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark
  • Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset
  • Knowledge of Python will be a plus

Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.
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ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed.
We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.