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Mathematical Modeling Jobs in Miami, FL (NOW HIRING)

Opendoor

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization * Comfort working with messy ...

OpenDoor

Applied Scientist- Pricing

Miami, FL · On-site

$156.80 - $335/hr

Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization * Comfort working with messy ...

Varsity Tutors

College Economics Tutor

Doral, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Cooper City, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Miramar, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Sunrise, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Hialeah, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Coral Gables, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Miami, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Varsity Tutors

College Economics Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in Miami, FL

Mathematical Modeling information

See Miami, FL salary details

$26.3K

$54.3K

$57.9K

How much do mathematical modeling jobs pay per year?

As of Sep 4, 2026, the average yearly pay for 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 mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

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

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.
More about Mathematical Modeling jobs

What are the most commonly searched types of Mathematical Modeling jobs in Miami, FL?

The most popular types of Mathematical Modeling jobs in Miami, FL are:

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

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

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

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

Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Miami, FL as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $54,252 per year, or $26.1 per hour.

Applied Scientist- Pricing

Opendoor

Miami, FL • On-site

$156K - $335K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role
We're looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.
This role will contribute to our broader valuation and pricing ecosystem and we're looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.
You'll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.
We're a small, nimble team, so there's ample opportunity to shape both the modeling direction and how these systems get used in production decision-making.
What You'll Need
  • Experience developing quantitative models to support real-world decision-making under uncertainty
  • Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
  • Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
  • Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
  • Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
  • Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have
  • Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
  • Background in real estate, housing, finance, or adjacent marketplace domains
  • Familiarity with distributed data processing tools such as Pyspark
  • Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
  • Experience working with large language models (LLMs) or vision-language models (VLMs)

What You'll Do
  • Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
  • Develop demand and conversion models using both pre-listing and post-listing signals
  • Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
  • Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
  • Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
  • Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
  • Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component

Compensation
The base pay range for this position is $156,800-$335,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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