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Operations Research Jobs in Austin, TX (NOW HIRING)

Prior work experience in higher education, particularly in STEM or research operations. Salary Range $50,000+ depending on qualifications and experience. Working Conditions * Standard office ...

New

With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries ...

Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field. * Extensive experience developing or applying models for nodal ...

Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field. * Extensive experience developing or applying models for nodal ...

Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field. * Extensive experience developing or applying models for nodal ...

Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field. * Extensive experience developing or applying models for nodal ...

Senior Research Analyst

Austin, TX · On-site

$115K - $115K/yr

T h is position can be based in our global operations center in Tampa, FL, or at one of the Firm ... The Senior Research Analyst responds to complex legal, corporate, and industry research requests ...

Showing results 41-60

Operations Research information

See Austin, TX salary details

$38.2K

$93K

$149.7K

How much do operations research jobs pay per year?

As of Sep 4, 2026, the average yearly pay for operations research in Austin, TX is $92,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $114,500.00 per year, depending on experience, location, and employer.

What is operations research?

Operations research is a discipline that uses advanced analytical methods, such as mathematical modeling, statistics, and algorithms, to help organizations solve complex problems and make better decisions. Professionals in this field analyze data and systems to optimize processes, improve efficiency, and reduce costs. Operations research is applied in various industries, including logistics, manufacturing, healthcare, and finance, to support strategic planning and operational improvements.

What are the qualifications to get a job in operations research?

The qualifications to get a job in operations research typically include a bachelor’s degree and strong technical and mathematical skills. Data science, statistics, applied math, and engineering are all good subjects to study in college. It is also useful to have a working knowledge of the specific industry in which you work, such as logistics and delivery, healthcare, or business. More complex positions often require advanced degrees. In addition to these formal qualifications, programming experience with R or other statistical software and strong analytical skills are essential.

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

To thrive as an Operations Research Analyst, you need strong quantitative analysis, mathematical modeling, and problem-solving skills, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as Python or R), advanced Excel, and optimization software like CPLEX or Gurobi is often required. Outstanding communication, critical thinking, and teamwork abilities help translate complex data insights into actionable recommendations for stakeholders. These skills ensure effective analysis, informed decision-making, and successful implementation of solutions in complex organizational environments.

What are some typical challenges faced by professionals in operations research, and how can they be addressed?

Operations Research professionals often encounter challenges such as working with incomplete or imperfect data, translating complex mathematical models into actionable business solutions, and communicating technical findings to non-technical stakeholders. Successfully addressing these challenges involves collaborating closely with subject matter experts, utilizing robust data validation techniques, and developing strong communication skills to clearly convey results and recommendations. Additionally, staying updated on the latest optimization tools and methodologies can help streamline problem-solving processes.

What is the difference between Operations Research vs Data Analyst?

AspectOperations ResearchData Analyst
Required CredentialsBachelor's or master's in operations research, industrial engineering, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentAnalytical teams, consulting firms, manufacturing, logisticsBusiness, finance, marketing, technology sectors
Employer & Industry UsageSupply chain, transportation, manufacturing, governmentRetail, finance, healthcare, tech companies
Common Search & ComparisonOperations Research vs Data Analyst

Operations Research and Data Analysts both analyze data to improve decision-making, but Operations Research focuses on complex optimization and modeling for large systems, while Data Analysts interpret data trends for business insights. Their roles often overlap but serve different strategic purposes in organizations.

Does operations research pay well?

Operations research analysts typically earn competitive salaries, with median pay above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and professionals often use analytical tools and quantitative skills to solve complex problems. Advanced degrees and certifications can lead to higher compensation.

What can I do with an operations research degree?

An operations research degree prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, focusing on optimizing processes and decision-making using mathematical modeling and analytical tools. Graduates often work in industries like manufacturing, logistics, finance, and consulting, utilizing skills in statistics, programming, and problem-solving to improve efficiency and reduce costs.

What does an operations researcher do?

An operations researcher analyzes complex systems and processes to improve efficiency and decision-making using mathematical models, statistics, and optimization techniques. They often work with data analysis tools and develop algorithms to solve problems in logistics, supply chain, manufacturing, and other operational areas.

What are the most commonly searched types of Operations Research jobs in Austin, TX?

The most popular types of Operations Research jobs in Austin, TX are:

What job categories do people searching Operations Research jobs in Austin, TX look for?

The top searched job categories for Operations Research jobs in Austin, TX are:

What cities near Austin, TX are hiring for Operations Research jobs?

Cities near Austin, TX with the most Operations Research job openings:

Infographic showing various Operations Research job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $92,980 per year, or $44.7 per hour.

Research Program Coordinator

Phase2 Technology

Austin, TX • On-site

$50 - $70/hr

Other

Posted 3 days ago

New


Job description

Research Program Coordinator

Location: PICKLE RESEARCH CAMPUS

Weekly Scheduled Hours: 40 hours per week

FLSA Status: Exempt

Earliest Start Date: Immediately

Position Duration: Expected to Continue

Purpose

The Research Program Coordinator will work within a space geodesy research program at the University of Texas at Austin, supported by multiple research grants and contracts from NASA, DoD, and industry. The coordinator will facilitate active research program coordination across faculty, research staff, and students, ensuring effective management of projects, budgets, and reporting.

Responsibilities
  • Assist with discovery, planning, budgeting, writing and formatting of grant proposal submissions.
  • Prepare templates and write reports and other correspondence related to the research and program in accordance with grant guidelines, collating technical contributions from researchers.
  • Assist with labor allocation and budget tracking across multiple grants/contracts.
  • Develop research program guidelines/activities and provide recommendations for improvement.
  • Discover and report on peer work in blogs, websites, and trade articles.
  • Participate in the writing and editing process of manuscripts for submission to scientific journals.
  • Other duties as assigned.
Required Qualifications
  • Bachelor's degree in a related field.
  • Three (3) years of experience coordinating or administering a program.
Preferred Qualifications
  • B.S. or B.A. in STEM or Liberal Arts in technical disciplines.
  • More than three years of experience in research program coordination.
  • Experience with composition using MS Office and LaTeX.
  • Experience with MS Excel tools for planning.
  • Strong verbal communication, technical writing, and teamwork skills.
  • Ability to take initiative and drive for results in an interrupt-driven, fast-paced environment.
  • Prior work experience in higher education, particularly in STEM or research operations.
Salary Range

$50,000+ depending on qualifications and experience.

Working Conditions
  • Standard office conditions with occasional after‑hours work.
  • Climbing of stairs.
  • Repetitive use of a keyboard and mouse.
  • Work Shift: Monday – Friday, typical office hours plus occasional after-hours work.
Equal Opportunity Employer

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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