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Math Engineering Jobs in Florida (NOW HIRING)

Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics. * 0-3 years of experience in systems engineering, risk management, or a related discipline * Strong ...

Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics * 3-6 years of applicable experience, or 3-4 years of Government or aerospace industry experience * Strong ...

Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics * 12-15 years of applicable experience and 8-12 years of Government or aerospace industry experience

Bachelors degree or higher in IT, Business, Math, Engineering, or related field J2SE 1.6/1.7 MVC Pattern Servlets JSP RMI AWT Spring Tomcat 5.5/7 Apache CXF Eclipse Subversion Jenkins JUnit JavaDoc ...

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Math Engineering information

See Florida salary details

$16.8K

$44K

$70.6K

How much do math engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for math engineering in Florida is $43,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $52,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Math Engineer, and why are they important?

To thrive as a Math Engineer, you need a strong background in applied mathematics, computational methods, and a relevant engineering discipline, usually supported by a degree in mathematics, engineering, or a related field. Proficiency in programming languages (such as MATLAB, Python, or C++), mathematical modeling software, and familiarity with simulation tools are typically required. Analytical thinking, problem-solving abilities, and effective communication skills are essential soft skills to excel in this role. These skills and qualities are crucial for accurately modeling complex systems, developing innovative solutions, and effectively collaborating with multidisciplinary teams.

How does a Math Engineer typically collaborate with software developers and data scientists on interdisciplinary projects?

Math Engineers often work closely with software developers and data scientists to design and implement mathematical models and algorithms. Collaboration involves translating complex mathematical concepts into practical computational solutions, validating results, and optimizing performance. Regular meetings, code reviews, and shared documentation help ensure alignment across teams, and strong communication skills are essential for explaining technical details to non-specialists. This interdisciplinary teamwork is common in industries like finance, technology, and engineering, leading to innovative solutions and continuous learning opportunities.

What is math engineering?

Math engineering is a multidisciplinary field that applies advanced mathematical theories, techniques, and computational methods to solve engineering problems. Professionals in this area use mathematics to model, analyze, and optimize systems in industries such as technology, finance, aerospace, and manufacturing. Typical tasks include developing algorithms, performing simulations, and interpreting complex data to improve processes or products. Math engineers often work closely with other engineers and scientists to design efficient solutions to real-world challenges.

What is the difference between Math Engineering vs Data Scientist?

AspectMath EngineeringData Scientist
Required CredentialsMathematics, Engineering, Computer Science degreesStatistics, Computer Science, Mathematics degrees
Work EnvironmentResearch labs, R&D departments, technical teamsBusiness settings, analytics teams, tech companies
Employer & Industry UsageTech firms, engineering companies, financeTech, finance, healthcare, marketing
Common Search & ComparisonMath Engineering vs Data Scientist

Math Engineering focuses on applying advanced mathematical techniques to develop engineering solutions, often in R&D or technical roles. Data Scientists analyze large datasets to extract insights, primarily supporting business decisions. While both roles require strong math skills, Math Engineering emphasizes engineering applications, whereas Data Science centers on data analysis and modeling.

What job categories do people searching Math Engineering jobs in Florida look for? The top searched job categories for Math Engineering jobs in Florida are:
Infographic showing various Math Engineering job openings in Florida as of May 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $43,968 per year, or $21.1 per hour.
Risk Management Analyst

Risk Management Analyst

Tecolote Research

Orlando, FL • On-site

Full-time

Posted 13 days ago


Job description

Overview
Seeking a motivated and detail-oriented Risk Management to join our team. This entry-level position provides systems engineering support focused on risk identification, analysis, and mitigation strategies in support of defense and space programs. The ideal candidate will work under close supervision and contribute to the development and evaluation of risk management processes, documentation, and related systems engineering activities.
Responsibilities
  • Assist in the development and maintenance of risk registers, risk mitigation plans, and related documentation
  • Support risk identification, analysis, and prioritization across programs and projects
  • Participate in risk review boards and support coordination with stakeholders
  • Assist in applying risk tools and techniques to support program decision-making
  • Ensure compliance with customer and program-specific risk management standards and best practices
  • Contribute to other systems engineering tasks as required

Skills Required
  • Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics.
  • 0-3 years of experience in systems engineering, risk management, or a related discipline
  • Strong analytical and communication skills
  • Proficiency in Microsoft Office tools (Excel, PowerPoint, Word)
  • Ability to work collaboratively in a team environment
  • Must be a U.S. Citizen and able to obtain a government security clearance

Preferred Qualifications:
  • Familiarity with risk management frameworks (e.g., DoD, NASA, ISO)
  • Exposure to program management or systems engineering environments
  • Basic understanding of quantitative and qualitative risk analysis techniques

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.