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Operations Research Jobs in Florida (NOW HIRING)

Requirements Master's degree in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required plus 3 years of work ...

Operations Analyst

Tampa, FL Β· On-site

$69K - $158K/yr

As an operations analyst, you're passionate about exploring the root cause of an issue and then ... We need an experienced research analyst like you to help us solve complex problems for our ...

Requirements Master's degree in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required plus 3 years of work ...

... operational signals, and behavioral data. Examples include: * Representation learning over long ... Evidence of research excellence through publications, open-source contributions, technical ...

... operational signals, and behavioral data. Examples include: * Representation learning over long ... Evidence of research excellence through publications, open-source contributions, technical ...

... operational signals, and behavioral data. Examples include: * Representation learning over long ... Evidence of research excellence through publications, open-source contributions, technical ...

... operational signals, and behavioral data. Examples include: * Representation learning over long ... Evidence of research excellence through publications, open-source contributions, technical ...

... operational signals, and behavioral data. Examples include: * Representation learning over long ... Evidence of research excellence through publications, open-source contributions, technical ...

Showing results 41-60

Operations Research information

See Florida salary details

$28.8K

$70.1K

$112.8K

How much do operations research jobs pay per year?

As of Sep 14, 2026, the average yearly pay for operations research in Florida is $70,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $86,300.00 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 Florida?

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

Infographic showing various Operations Research job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $70,099 per year, or $33.7 per hour.

Revenue Science Advisor

Lakeland, FL β€’ On-site

Other

Posted 12 days ago


Job description

Independently assumes lead roles in larger and higher revenue threshold projects. Key contributor to deriving business insights and analyzing business problems of high complexity. Generates computer-aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies. Assists in synthesizing analytical views reports and insights from various business dimensions in support of designing business strategies related to business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments. Reviews and optimizes go-to-market tactics related to specific target customers, markets and products in terms of marketing communication and sales calls. Leads teams with peer partners from other groups. Independently attends cross-functional meetings and discussions to provide business guidance based on analytical insights to peers and managers of partner teams. Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering/operations research), and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBl, Tableau, Spotfire). Mentors and trains professionals in less senior positions within the team on quantitative data analysis and utilization of above computer resources. Provides updates, reports, and analytical presentations to upper management across the enterprise. Performs other duties as assigned.

Requirements

Master’s degree in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required plus 3 years of work experience required in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. As an equivalent alternative, the employer will accept a Ph.D. in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required. The position requires experience with:

  • Statistical Modeling;
  • Business Performance Management;
  • Customer Analytics;
  • Strategy Development by connecting Competitive Strategy, Economic Indicators, Pricing Information and Customer Segmentation;
  • Gathering stakeholder needs and translating them into specific dashboard features that address those needs;
  • Create and maintain Data ETL (extract, transform, load) Pipelines, Data Wrangling and Data Modelling
  • Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education): computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research), and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBl, Tableau, Spoffire).
  • Strong human relations, communication, and analytical skills.

Directly related advanced degrees may offset experience requirements. Related experience may offset degree requirements and related education/degree may offset experience requirements. This position will be hybrid in Lakeland, FL and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week.

EEO Statement

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act
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