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Mathematical Optimization Operations Research Jobs in Florida

Hertz

Operations Research Analyst

Estero, FL · On-site

$75K/yr

As an Operations Research Analyst, you'll play a key role in optimizing Hertz's fleet by leveraging ... Passion for solving complex problems through mathematical reasoning, analytics, and data-driven ...

ManTech International

Operations Research Analyst

Tampa, FL · On-site

$93K - $110K/yr

Providing analytical support involving mathematical modeling, statistical methods, and operational ... Researching, designing, and implementing algorithms to solve complex problems while programming in ...

ManTech

Operations Research Analyst

Fort Walton Beach, FL · On-site

$80K - $95K/yr

Providing analytical support involving mathematical modeling, statistical methods, and operational ... Researching, designing, and implementing algorithms to solve complex problems while programming in ...

US Department of the Air Force

$49K/yr

BASIC REQUIREMENTS: degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject ...

AllSTEM Connections

Lead Engineer

Orlando, FL · On-site

$58K - $93K/yr

... Operations Research Engineer to join our systems optimization team. You will be the architect of ... You must be able to translate complex mathematical outcomes into intuitive insights for everyone ...

CACI

Operations Research System Analyst (ORSA)

Tampa, FL

$93K - $110K/yr

Active TS/SCI security clearance Master's degree in a relevant field of study (e.g Operations Research, Applied Mathematics, Statistics) and 3+ years of experience supporting military operational ...

New

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

... optimization, and econometric methods to solve intricate problems. You will not only be an ... Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer ...

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Mathematical Optimization Operations Research information

What is mathematical optimization in operations research?

Mathematical Optimization in Operations Research is the process of finding the best solution from a set of feasible options, subject to constraints, by maximizing or minimizing an objective function. It involves formulating real-world problems mathematically and using algorithms to identify optimal or near-optimal solutions. This field is widely applied in logistics, finance, manufacturing, and other industries to improve efficiency and reduce costs. Professionals use techniques such as linear programming, integer programming, and nonlinear optimization to solve complex decision-making problems.

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

Professionals in Mathematical Optimization Operations Research often encounter challenges such as dealing with large-scale, complex datasets and ensuring that models are both accurate and computationally efficient. Balancing the precision of theoretical models with the practical limitations of real-world data and time constraints is a common hurdle. Collaboration with domain experts and iterative model refinement are essential strategies to address these issues. Additionally, clear communication of technical results to non-technical stakeholders is crucial for successful project implementation.

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

To excel as a Mathematical Optimization Operations Research Analyst, you need advanced skills in mathematics, statistics, and analytical modeling, usually supported by a degree in operations research, applied mathematics, or a related field. Familiarity with optimization software (such as CPLEX or Gurobi), programming languages like Python or R, and data analysis tools is typically required. Strong problem-solving abilities, critical thinking, and effective communication help you translate complex data into actionable business solutions. These competencies are crucial for delivering efficient, data-driven strategies that optimize organizational performance and decision-making.

What are popular job titles related to Mathematical Optimization Operations Research jobs in Florida?

For Mathematical Optimization Operations Research jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization Operations Research jobs in Florida look for?

The top searched job categories for Mathematical Optimization Operations Research jobs in Florida are:

What cities in Florida are hiring for Mathematical Optimization Operations Research jobs?

Cities in Florida with the most Mathematical Optimization Operations Research job openings:

Mathematical Optimization Operations Research jobs near you
Infographic showing various Mathematical Optimization Operations Research job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Operations Research Analyst (Compensation)

Kaseya Careers

Miami, FL • On-site

$94K - $111K/yr

Full-time

Posted 19 days ago

Job description

About Kaseya
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.
Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.
Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.
At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.
Operations Research Analyst (Compensation) - Kaseya US LLC (Miami, FL)
Multiple Openings.
The Operations Research Analyst will be responsible for managing and optimizing global compensation programs, including base, variable, and equity compensation, to attract and retain top talent. This role also involves conducting strategic analysis to identify problems, evaluate alternative courses of action, and recommend solutions to improve operational efficiency and lead transformative projects that align with company objectives. The role will collaborate closely with HR, finance, and business leaders -- leveraging mathematical modeling and quantitative insights to enhance compensation structures and operational processes.
The primary responsibilities for the role include:
  • Formulate and apply mathematical modeling and optimizing methods to analyze global compensation programs including base salary, incentive compensation, and equity compensation, to evaluate alignment with organizational objectives and market data of technology industry peers.
  • Develop and maintain complex statistical compensation models and systems to support various departments in compensation planning, workforce cost forecasting, budgeting, and scenario analysis.
  • Perform regression analysis, predictive modeling, and other statistical techniques to assess current compensation trends, pay equity, workforce cost projections, and retention initiatives.
  • Drive annual compensation review and incentive payment process by preparing models, configuring Oracle HCM Workforce Compensation tool, defining data requirements, gathering and validating information, applying judgment and statistical tests, and presenting results to business stakeholders.
  • Gather, organize, and evaluate external compensation survey data and labor market datasets to support competitive market pricing and pay positioning.
  • Drive global job architecture and leveling initiatives by formulating and applying mathematical modeling to analyze job content, and recommend compensation structures.
  • Design and develop decision support tools and data visualization guides using Power BI to present compensation and operational metrics to management and key stakeholders.
  • Perform data validation, reconciliation, and quality control procedures to ensure accuracy and integrity of global compensation data.
  • Conduct compliance analyses related to compensation reporting requirements, including Fair Labor Standards Act (FLSA) classification review and documentation.
  • Lead user acceptance testing (UAT) activities for compensation system implementations and enhancements, including developing test scripts, executing test cases, documenting results, and coordinating problem resolution with IT partners.
  • Regularly generate ad hoc analytical reports defining and evaluating problems and recommending solutions to support management decision-making related to compensation and workforce planning.
  • Collaborate with cross-functional teams including Human Resources, Finance, IT, Legal, and Transformation teams to ensure successful implementation of chosen compensation solutions and operational process improvements.

A qualified candidate will possess at a minimum a Master's degree (or a foreign equivalent degree) in Operations Research, Statistics, Analytics, Applied Mathematics, or a related quantitative field followed by two (2) years of experience as a Total Rewards Analyst, Compensation Analyst, or similar position at a software company applying mathematical modeling and optimization methods to total rewards and workforce decision-making. The experience, which may have been gained concurrently, must have included two (2) years of experience with each of the following:
  • Developing mathematical and simulation models for workforce analysis including regression analysis, human capital modeling, and workforce forecasting.
  • Developing decision support tools and high-quality data visualizations using Power BI and similar reporting tools to present compensation and workforce findings to senior management, and support business decision making.
  • Developing, implementing, and maintaining global compensation programs, including base salary structures, job leveling principles, incentive compensation plans, and equity programs; supporting multiple business units and unique geographic regions.
  • Conducting compensation-related compliance analysis, including Fair Labor Standards Act (FLSA) classification review, audit support, and documentation to ensure adherence to applicable federal, state, and local compensation laws and regulations.

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

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