1

Operations Research Jobs in Indiana (NOW HIRING)

The ideal candidate will combine strong expertise in advanced analytics, operations research, and AI/ML with the ability to translate ambiguous business challenges into impactful, production-ready ...

The ideal candidate will combine strong expertise in advanced analytics, operations research, and AI/ML with the ability to translate ambiguous business challenges into impactful, production-ready ...

Research Contracts Admin

Evansville, IN · On-site

$19.14 - $26.79/hr

In this role, you will help ensure the financial and operational success of clinical research studies by supporting budget development, contract administration, financial compliance, and sponsor ...

The Research Technician is responsible for supporting the testing needed to develop and formulate ... Work requires exposure to manufacturing environment operations, such as moving equipment, noise ...

next page

Showing results 1-20

Operations Research information

See Indiana salary details

$36.6K

$89.3K

$143.7K

How much do operations research jobs pay per year?

As of Jul 12, 2026, the average yearly pay for operations research in Indiana is $89,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $109,900.00 per year, depending on experience, location, and employer.

Is operations a high paying job?

Operations Research professionals often have high earning potential, especially with advanced degrees like a master's or Ph.D. and experience in data analysis, optimization, and modeling. Salaries vary by industry, location, and level of expertise, but the field generally offers competitive compensation compared to many other roles in management and analytics.

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.

Is operations research in high demand?

Operations research is a growing field with strong demand across industries such as manufacturing, logistics, and healthcare. Professionals with skills in data analysis, optimization, and simulation are sought after to improve efficiency and decision-making processes.

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 can I do with a degree in operations research?

A degree in operations research prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, where they apply mathematical modeling, optimization, and statistical analysis to improve decision-making processes. Skills in programming, data analysis, and familiarity with tools like Excel, R, or Python are often essential. These professionals work in industries like manufacturing, logistics, finance, and consulting to optimize systems and processes.

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 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 do you do in operations research?

Operations research involves analyzing complex systems and using mathematical models, algorithms, and data analysis to improve decision-making and optimize processes. Professionals in this field often work with tools like linear programming, simulation, and statistical analysis to solve problems in logistics, supply chain, scheduling, and resource allocation.
What are the most commonly searched types of Operations Research jobs in Indiana? The most popular types of Operations Research jobs in Indiana are:
Senior Data Scientist

Senior Data Scientist

Elanco

Indianapolis, IN

Full-time

Retirement, PTO

Posted 24 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

44th of 74 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role: Senior Data Scientist 

We are seeking a highly motivated and experienced Senior Data Scientist to join our Enterprise Analytics and Governance organization. This role is critical in transforming complex data into strategic insights and scalable solutions that drive business value. The ideal candidate will combine strong expertise in advanced analytics, operations research, and AI/ML with the ability to translate ambiguous business challenges into impactful, production-ready solutions. 

Your Responsibilities:

  • Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions. 
  • Apply advanced modeling techniques, including machine learning, deep learning, statistical methods and operations research (e.g., optimization, simulation), to solve complex business problems. 
  • Partner with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions. 
  • Design and develop robust data pipelines and models leveraging platforms such as Databricks, Azure Synapse, and SAP. 
  • Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making. 
  • Implement best practices in software engineering, including modular code design, testing, version control, and CI/CD pipelines. 
  • Ensure model transparency, explainability and interpretability using Explainable AI (XAI) approaches. 
  • Monitor, evaluate, and optimize model performance in production environments, including establishing observability and feedback loops. 
  • Communicate complex analytical insights clearly to both technical and non-technical stakeholders. 
  • Provide technical leadership and mentorship to junior team members. 

What You Need to Succeed (Minimum Qualifications):

  • Education/Required Experience: PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with 2+ year of experience, OR Master’s degree with 5+ years of relevant experience. 
  • Strong expertise in machine learning, deep learning, statistics and/or optimization. 
  • Advanced proficiency in Python (and /or R), SQL, with experience building and maintaining data pipelines in Databricks or similar environments. 
  • Solid foundation in software engineering best practices, including Git, unit and integration testing, CI/CD and model deployment capabilities. 
  • Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard. 
  • Proven ability to deploy and manage high-performance models in production environments using machine learning ops tools and technologies. 

What Will Give You the Competitive Edge (Preferred Qualifications):

  • Experience building end-to-end observability frameworks, including model monitoring, drift detection, and business performance tracking. 
  • Familiarity with Natural Language Processing, Generative AI techniques (e.g., LLMs, RAG architectures, AI Agents). 
  • Experience working with large-scale enterprise data platforms and cloud ecosystems (Azure, AWS, GCP). 
  • Demonstrated ability to operate effectively in ambiguous, fast-paced environments. 

Additional Information:

  • Location: Indianapolis, IN Global HQ (Hybrid Environment)
  • Travel: Minimal

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.


What Elanco employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom