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Mathematical Modeling Jobs in Madison, WI (NOW HIRING)

Senior Data Scientist

Madison, WI · On-site

$120 - $190/hr

D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field * Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics ...

Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics ...

D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field * Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics ...

AP Calculus BC Tutor

Madison, WI · Remote

$18 - $40/hr

Ability to explain radius of convergence, Euler method, and logistic growth models while preparing ... mathematics applications. * Curriculum Awareness & Adaptive Instruction: Familiar with AP Calculus ...

... project managers, and modelers to create product files, job folders, and project submittals ... Above-average mathematical & typing skills. * Understanding of BOMs. * Willingness to take on other ...

Models positive and professional work ethics. * Effective communication skills. DISTRIBUTION ... Ability to perform basic reading, writing, and math functions. * Basic PC knowledge. * High level ...

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... Bachelor's degree in finance, economics, statistics, mathematics, business administration, or ...

Showing results 21-40

Mathematical Modeling information

See Madison, WI salary details

$27.7K

$57.2K

$61K

How much do mathematical modeling jobs pay per year?

As of Aug 10, 2026, the average yearly pay for mathematical modeling in Madison, WI is $57,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $60,000.00 per year, depending on experience, location, and employer.

What jobs use mathematical modeling?

Mathematical modeling is used in a variety of jobs such as data analyst, operations researcher, financial analyst, and systems engineer. These roles involve creating models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

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 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.

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 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 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 MATLAB or Python are often required.

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 most commonly searched types of Mathematical Modeling jobs in Madison, WI? The most popular types of Mathematical Modeling jobs in Madison, WI are:
What are popular job titles related to Mathematical Modeling jobs in Madison, WI? For Mathematical Modeling jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Madison, WI look for? The top searched job categories for Mathematical Modeling jobs in Madison, WI are:
Infographic showing various Mathematical Modeling job openings in Madison, WI as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $57,155 per year, or $27.5 per hour.

Senior Data Scientist

Amgen SA

Madison, WI • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.


Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.


Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.


Senior Data Scientist
What you will do

Let’s do this! Let’s change the world!


In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.


The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross‑functional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen’s SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.



  • Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.



  • Integrate modeling software with connectivity to real‑time equipment data to enable digital twins for improved process performance and understanding.



  • Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact‑level insights.



  • Collaborate with cross‑functional teams to translate scientific challenges into data‑driven solutions and ensure seamless model integration into process development workflows.



  • Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.



What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Data Sciences professional we seek is an individual with these qualifications.


Basic Qualifications:

  • High school diploma / GED and 10 years of Data Sciences experience OR



  • Associate’s degree and 8 years of Data Sciences experience OR



  • Bachelor’s degree and 4 years of Data Sciences experience OR



  • Master’s degree and 2 years of Data Sciences experience OR



  • Doctorate degree



Preferred Qualifications:

  • Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field



  • Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)



  • Experience in applying AI and ML algorithms to produce data‑driven solutions to engineering problems



  • Track record of leading modeling and data science projects



  • 3+ yrs of coding experience in Python



  • Understanding of biopharmaceuticals process and related unit operations



  • Experience using Git for version control



  • Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)



  • Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS



  • Experience leveraging AI tools to generate agentic solutions for scientific workflows



  • Independent, self‑motivated, organized, and able to multi‑task in time‑sensitive environments



  • Excellent communication skills (written and verbal)



  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy



What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well‑being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.


The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.


In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:



  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts



  • A discretionary annual bonus program, or for field sales representatives, a sales‑based incentive plan



  • Stock‑based long‑term incentives



  • Award‑winning time‑off plans



  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.



In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.


Sponsorship

Sponsorship for this role is not guaranteed.


As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.


Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.


We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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