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Operations Research Manager Jobs in Georgia (NOW HIRING)

Project Manager - GenAi/AI/ML

Alpharetta, GA ยท On-site

$50.50 - $68.25/hr

Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Quantitative Social ... Manage and communicate key timelines and deliverables to execute on strategic initiatives * Stand ...

The role partners across Revenue Management, Pricing, Sales, Product, Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype ...

Sr Data Scientist - Commercial

Atlanta, GA ยท On-site

$95 - $116/hr

The role partners across Revenue Management, Pricing, Sales, Product, Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype ...

SVP Operations

Atlanta, GA ยท On-site

$180 - $320/hr

Bachelor's degree in Econometrics, Management Science, Operations Research, Logistics, Data Science, a related field, or a foreign equivalent plus 6 years of progressively responsible ...

... operational products, systems and procedures that dramatically impact the health, safety and ... Navy Research Psychologists also manage large research and development efforts in laboratories and ...

... operational products, systems and procedures that dramatically impact the health, safety and ... Navy Research Psychologists also manage large research and development efforts in laboratories and ...

... operational products, systems and procedures that dramatically impact the health, safety and ... Navy Research Psychologists also manage large research and development efforts in laboratories and ...

... operational products, systems and procedures that dramatically impact the health, safety and ... Navy Research Psychologists also manage large research and development efforts in laboratories and ...

Showing results 41-60

Operations Research Manager information

What is an operations research manager?

Operations Research Managers are professionals who oversee teams that use mathematical modeling, data analysis, and optimization techniques to help organizations solve complex problems and make better decisions. They often manage projects that improve efficiency, reduce costs, and enhance overall performance in various industries such as manufacturing, logistics, healthcare, and finance. These managers translate business challenges into analytical models and guide their teams in implementing solutions that support organizational goals.

How does an operations research manager typically collaborate with cross-functional teams within an organization?

Operations Research Managers frequently work closely with teams from departments such as IT, finance, logistics, and production to identify operational challenges and develop data-driven solutions. They lead or participate in project meetings, translate complex analytical findings into actionable recommendations, and ensure that proposed models align with business objectives. Effective communication and the ability to explain technical concepts clearly are essential, as these managers serve as a bridge between analytical experts and decision-makers. This collaborative environment fosters innovation and ensures the successful implementation of optimization strategies.

What are the key skills and qualifications needed to thrive as an operations research manager, and why are they important?

To thrive as an Operations Research Manager, you need advanced analytical skills, a solid grasp of mathematical modeling, and typically a master's or Ph.D. in operations research, mathematics, or a related field. Proficiency in optimization software, statistical analysis tools (such as MATLAB, R, or Python), and experience with data visualization systems is essential. Strong leadership, problem-solving, and communication skills set standout managers apart by enabling them to lead teams and explain complex findings to stakeholders. These capabilities are crucial for making data-driven decisions that optimize organizational efficiency and competitive advantage.

What is the difference between Operations Research Manager vs Data Analyst?

AspectOperations Research ManagerData Analyst
Required CredentialsBachelor's or Master's in Operations Research, Industrial Engineering, or related fields; often certifications in project managementBachelor's or Master's in Statistics, Data Science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentTypically in corporate, manufacturing, or logistics settings; managing teams and projectsIn offices or remote; analyzing data sets and creating reports
Employer & Industry UsageUsed in supply chain, manufacturing, logistics, and consulting firmsCommon across finance, marketing, healthcare, and tech industries

While both roles involve data analysis, Operations Research Managers focus on optimizing complex systems and processes using advanced mathematical models, often leading teams. Data Analysts primarily interpret data to support decision-making through reports and visualizations. The roles overlap in data skills but differ in scope and strategic impact.

What are the most commonly searched types of Operations Research jobs in Georgia?

The most popular types of Operations Research jobs in Georgia are:

What cities in Georgia are hiring for Operations Research Manager jobs?

Cities in Georgia with the most Operations Research Manager job openings:

Infographic showing various Operations Research Manager job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 11% Part Time, 1% Temporary, 7% Contract, and 3% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Project Manager - GenAi/AI/ML

3B Staffing LLC

Alpharetta, GA โ€ข On-site

$50.50 - $68.25/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Required

  • Advanced degree in a quantitative field (e.g. Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Quantitative Social Science)
  • Proficient in manipulating and analyzing data from different sources (cloud and on-premises), at different scales (big data and small data), and of different formats
  • Must have excellent coding proficiency with demonstrated expertise in python, java, R, etc.
  • Knowledgeable of a variety of AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)
  • Must have the ability to explain both the code and the underlying math used in algorithms/models.
  • Experience with model deployment in production environments a big plus
  • Familiarity with hypothesis testing, sampling, and causal inference methods
  • Excellent communication & cross-functional collaboration skills
  • Advanced degree in a quantitative field (e.g. Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Quantitative Social Science)

Responsibilities:

  • Drive the development and application of new technologies focused on Big Data Artificial Intelligence
  • Identify and initiate opportunities across the Enterprise, building collaboration, and influencing strategic direction by raising visibility of trends and issues across the competitive landscape
  • Lead cross-functional initiatives, develop action plans, establish milestones, and provide status updates
  • Drive cross functional Big Data AI initiatives, including the development of the roadmaps, key metrics, and success criteria
  • Manage and communicate key timelines and deliverables to execute on strategic initiatives
  • Stand up Ad-hoc Work Groups (AWGs) and Proofs of Concepts for new Big Data AI initiatives
  • Define and own key metrics and key performance indicators
  • Identify and leverage expertise, technological investments, and AI techniques
  • Research new technology opportunities, investigate industry trends, and deliver compelling, data driven recommendations to guide business decisions and improve business performance

. Design/Develop custom RAG pipeline for GenAI solutions
. Participate in daily touch point calls, design calls and interface with other technical leads and business stakeholders to understand requirements and plan a solution around it.
. Provide timely updates to management on progress and any challenges.
. Research and develop new solutions for unique problems in AI/ML and GenAI space.

Desired Skills:
Hands on experience working on GenAI models. Ability to write code and identify techniques to use in the RAG architecture to solve for problem at hands