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Full Time Mathematical Modeling information

See Miami, FL salary details

$26.3K

$54.3K

$57.9K

How much do full time mathematical modeling jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time mathematical modeling in Miami, FL is $54,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $56,900.00 per year, depending on experience, location, and employer.

What is a full time mathematical modeling?

A Full Time Mathematical Modeling job involves using mathematical techniques and computational methods to create models that represent real-world systems or processes. Professionals in this field analyze data, build mathematical representations, and use simulations to predict outcomes or solve complex problems. These models are often applied in industries such as finance, engineering, healthcare, and environmental science. Full-time roles typically require strong analytical skills, proficiency in mathematics and programming, and the ability to communicate findings to both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as a full time mathematical modeling professional?

To thrive in Full Time Mathematical Modeling, you need a strong background in mathematics, statistics, and analytical reasoning, usually supported by a relevant degree such as mathematics, engineering, or applied science. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex models into actionable insights. These competencies are crucial for developing accurate, reliable models that inform decision-making across diverse industries.

What are some common challenges faced by professionals in full time mathematical modeling roles?

Full-time mathematical modeling professionals often encounter challenges such as translating complex real-world problems into mathematical formulations and ensuring that their models are both accurate and computationally efficient. Collaboration with domain experts is crucial, as modelers need to understand the underlying business or scientific problems deeply. Additionally, they must regularly validate and refine models based on new data or feedback, which requires strong communication skills and adaptability. Balancing precision with practical constraints, such as data limitations or computational resources, is also a frequent aspect of the role.

What is the difference between Full Time Mathematical Modeling vs Data Analyst?

AspectFull Time Mathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering firmsBusiness, marketing, healthcare sectors
Employer & Industry UsageFinance, aerospace, tech companiesRetail, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles involving complex mathematical modelsAnalyzing data to inform business decisions

Full Time Mathematical Modeling focuses on developing and applying advanced mathematical techniques to solve complex problems, often in research or technical industries. Data Analysts interpret and visualize data to support business strategies. While both roles require strong analytical skills, Mathematical Modelers typically work on theoretical models, whereas Data Analysts focus on data interpretation and reporting.

What jobs use full time mathematical modeling?

Full time mathematical modeling is used in roles such as data scientist, quantitative analyst, operations researcher, financial analyst, and risk analyst. These jobs involve developing models to analyze data, optimize processes, or forecast outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

What are popular job titles related to Full Time Mathematical Modeling jobs in Miami, FL?

For Full Time Mathematical Modeling jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Full Time Mathematical Modeling jobs in Miami, FL look for?

The top searched job categories for Full Time Mathematical Modeling jobs in Miami, FL are:

What cities near Miami, FL are hiring for Full Time Mathematical Modeling jobs?

Cities near Miami, FL with the most Full Time Mathematical Modeling job openings:

Full Time Mathematical Modeling jobs near you

Assistant Professor/Instructor, Applied Mathematics and Data Science

St. Thomas University

Miami Gardens, FL • On-site

Full-time

Re-posted 14 days ago

Job description

About Us
Located in sunny Miami, Florida, St. Thomas University is a private, non-profit university that offers more than 39 undergraduate, graduate, and postgraduate degrees at its picturesque 144-acre campus and through distance learning. Its academic offerings include an undergraduate major in Applied Mathematics and Data Science. STU has been ranked #1 by U.S. News & World Report in Social Mobility for regional universities in the South, which means it takes students from the lowest financial strata and catapults them to much higher financial strata. St. Thomas University is the only Catholic Archdiocesan-sponsored university in Florida, and one of the only eight Archdiocesan universities nationwide.
Position Summary
The Department of Mathematics invites applications for a full-time in person Assistant Professor/Instructor of Applied Mathematics and Data Science, starting Fall 2026. We seek a dynamic, student-centered educator with expertise in mathematics, applied mathematics, statistics, data science, or a related field and the ability to teach across the undergraduate mathematics curriculum.
The successful candidate will be committed to excellence in teaching, mentoring, and advising students from diverse backgrounds and contributing to the continued growth of the Applied Mathematics and Data Science program.
Essential Functions/Duties:
  • Teach undergraduate mathematics courses at all levels (typically a 4 course (12 credit hour) teaching load per semester) such as College Algebra, Statistics, Precalculus, Trigonometry, Calculus, Linear Algebra, Discrete Math, Ordinary Differential Equations. Additional opportunities exist to teach courses in Data Science, Mathematical Modeling, Numerical Analysis, Complex Analysis, and Partial Differential Equations.
  • Contribute to curriculum development, assessment, and program initiatives
  • Support student success through advising, tutoring coordination, and student engagement initiatives
  • Participate in departmental, university, and professional service activities
  • Contribute to the continued growth and development of the Applied Mathematics and Data Science program

Preferred Qualifications
  • Ph.D. in Mathematics, Applied Mathematics, Statistics, Data Science, or a related field
  • Experience coordinating multi-section courses and working within a standardized curriculum
  • Familiarity with Pearson MyLab and McGraw Hill ALEKS or similar adaptive learning platforms
  • Experience incorporating Excel, statistical software, programming, or data analysis tools into instruction
  • Experience teaching in technology-enhanced or iPad-based learning environment
  • Experience teaching statistics, data science, applied mathematics, and upper-level mathematics courses such as Partial Differential Equations, Numerical Analysis, Mathematical Modeling, Complex Analysis.

About the Department
The Department of Mathematics supports a diverse student population through a coordinated general education curriculum and growing programs in Applied Mathematics and Data Science. Faculty teach across the mathematics curriculum, from general education and lower-division courses through advanced coursework in applied mathematics, modeling, statistics, and data science.
The department emphasizes applied, project-based learning, consistent academic standards across sections, innovative uses of technology, and strong support for student success. Faculty are encouraged to contribute to curriculum development, interdisciplinary collaboration, and the continued expansion of mathematics and data science offerings.
Catholic Identity
St. Thomas University is a Catholic university sponsored by the Archdiocese of Miami committed to academic and professional success guided by its Catholic identity. All employees are therefore expected to respect the teachings of the Roman Catholic Church and support the University's religious mission. All employees hereby acknowledge their familiarity and support of the religious affiliation, mission and values of St. Thomas University.
Equal Employment Opportunity
St. Thomas University is an equal opportunity employer that promotes a diverse and inclusive organization. It is the policy of the University to fill each vacancy with the candidate who represents the best fit for the position and to promote and transfer employees from within whenever possible and practical. Employment decisions are made on the basis of the candidate's personal capabilities, qualifications, and ability to assist the University in fulfilling its mission without discrimination. With regard to the latter, the University's program of recruiting employees for mission aims to inform prospective employees of the University's mission and to help them and hiring personnel determine how they will support and contribute to the University's mission.
E-Verify
St. Thomas University is an E-Verify® Employer. E-Verify is an Internet-based system that allows an employer, using information reported on an employee's Form I-9, Employment Eligibility Verification, to determine the eligibility of that employee to work in the United States. STU will utilize E-Verify® to verify employment eligibility for all newly hired employees.
Job Type:
    • Full-time Schedule:
    • Monday to Friday
    • Weekends as needed Application Question(s):
    • Please provide a cover letter, CV, unofficial transcript, and contact information for three (3) professional references.

Education:
    • Master's (Required)
    • Ph.D. (Preferred)

Experience:
    • Higher education teaching: 1 year (Preferred)

Work Location:
    • In person

Apply