ZipRecruiter

Log In

1

Operations Research Jobs in Austin, TX (NOW HIRING)

Enverus

Principal Data Scientist - 26254

Austin, TX · On-site

$180 - $240/hr

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

Meta

Data Analyst, Global Operations

Austin, TX · On-site

$125K - $178K/yr

... Operations Research, or equivalent practical experience • Advanced proficiency in SQL, and experience with Python, for data analysis and automation • Proven experience building and deploying ...

New

Victory

Data Scientist

Austin, TX

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Victory

Data Scientist

Austin, TX · On-site +1

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

previous pagenext page

Showing results 21-40

All JobsOperations Research JobsOperations Research Jobs in Austin, TX

Operations Research information

See Austin, TX salary details

$38.2K

$93K

$149.7K

How much do operations research jobs pay per year?

As of Aug 8, 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 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 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. Certifications in project management or data analysis can enhance career prospects.

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 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 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.

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.

Does operations research pay well?

Operations research analysts typically earn competitive salaries, with median wages above the national average for many industries. Salaries vary based on experience, education, and location, and professionals often work with data analysis, optimization tools, and statistical software. Advanced skills and certifications can lead to higher compensation.

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.
More about Operations Research jobs
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 are popular job titles related to Operations Research jobs in Austin, TX? For Operations Research jobs in Austin, TX, the most frequently searched job titles 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:
Operations Research jobs near you
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 100% In-person job distribution, with an average salary of $92,980 per year, or $44.7 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 23 days ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

Apply