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Entry Level Operations Research Engineer Jobs (NOW HIRING)

Itron, Inc

Research Engineer

San Jose, CA · Hybrid

$60K - $115K/yr

Join us. The Research Engineer plays a critical role in advancing distributed intelligence ... This position supports the design, development, and operation of research laboratory systems used ...

Console Systems, Inc

Research Engineer

San Francisco, CA · On-site

$200K - $350K/yr

We're building toward a future where enterprise operations are fully autonomous; with no tickets ... Join us. About the role We're hiring a Research Engineer to push Console's core agent loop from ...

Foxconn WI

Operations Research Analyst

Mount Pleasant, WI

$60K - $70K/yr

The Operations Research Analyst will develop data-driven models, identify process improvements, and ... Collaborate with Manufacturing, Quality, Engineering, and Supply Chain teams to support operational ...

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Entry Level Operations Research Engineer information

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How much do entry level operations research engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level operations research engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Operations Research Engineer vs Data Analyst?

AspectEntry Level Operations Research EngineerData Analyst
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentTechnical teams, research labs, consulting firmsBusiness departments, analytics teams, consulting firms
Employer & Industry UsageManufacturing, logistics, defense, consultingFinance, marketing, healthcare, retail
Common Search & ComparisonFocuses on optimization, modeling, algorithmsFocuses on data interpretation, reporting, visualization

Entry Level Operations Research Engineers and Data Analysts often share foundational skills like analytical thinking and proficiency in programming. However, operations research engineers primarily focus on developing models to optimize complex systems, while data analysts interpret data to support business decisions. Both roles are essential in data-driven industries but serve different functions within organizations.

What cities are hiring for Entry Level Operations Research Engineer jobs? Cities with the most Entry Level Operations Research Engineer job openings:
What are the most commonly searched types of Operations Research Engineer jobs? The most popular types of Operations Research Engineer jobs are:
Entry Level Operations Research Engineer jobs near you

Operations Research Analyst

Vital Tech Solutions

Taylor, MI • On-site

$80K - $88K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an analytical and technically skilled Operations Research Analyst to develop optimization models that improve operational efficiency, resource utilization, and business performance. This role partners closely with cross-functional teams including Operations, Analytics, and Business Stakeholders to solve complex planning and optimization challenges using mathematical modeling and data-driven decision making.

Key Responsibilities
  • Design, develop, and maintain optimization models that improve operational efficiency while balancing business objectives and operational constraints.
  • Analyze large datasets to identify opportunities for process improvements and performance gains.
  • Collaborate with business partners to translate operational challenges into mathematical optimization problems.
  • Support internal users by explaining optimization results and providing guidance on model outputs.
  • Validate model performance and recommend continuous improvements based on changing business needs.
  • Assist with implementing optimization solutions into production environments.
  • Document methodologies, assumptions, and model logic for internal stakeholders.


Requirements
  • Bachelor's degree in a quantitative discipline such as Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Data Science, or a related field.
  • Strong understanding of optimization techniques, mathematical programming, and analytical modeling.
  • Experience with commercial or open-source optimization solvers.
  • Proficiency in Python for data analysis and model development.
  • Strong problem-solving and communication skills.
Preferred Qualifications
  • Experience developing optimization models for scheduling, routing, resource allocation, supply chain, manufacturing, or logistics applications.
  • Working knowledge of SQL and relational databases.
  • Experience working with large datasets using distributed computing technologies.
  • Familiarity with business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience deploying analytical models into production environments.
  • Ability to communicate complex analytical concepts to both technical and non-technical audiences.