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Mathematical Modeling Jobs in Indiana (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Fort Wayne, IN · Remote

$80 - $140/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Carmel, IN · Remote

$80 - $140/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Evansville, IN · Remote

$80 - $140/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

South Bend, IN · Remote

$80 - $140/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Physics Modeling Expert - Remote

Fishers, IN · Remote

$80 - $140/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

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Mathematical Modeling information

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$26.2K

$54K

$57.6K

How much do mathematical modeling jobs pay per year?

As of Aug 16, 2026, the average yearly pay for mathematical modeling in Indiana is $53,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 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 MATLAB or Python are often required.

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.
More about Mathematical Modeling jobs

What are the most commonly searched types of Mathematical Modeling jobs in Indiana?

The most popular types of Mathematical Modeling jobs in Indiana are:

What are popular job titles related to Mathematical Modeling jobs in Indiana?

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

What job categories do people searching Mathematical Modeling jobs in Indiana look for?

The top searched job categories for Mathematical Modeling jobs in Indiana are:

What cities in Indiana are hiring for Mathematical Modeling jobs?

Cities in Indiana with the most Mathematical Modeling job openings:

Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $53,975 per year, or $25.9 per hour.

System Safety and Reliability Engineer

Rolls-Royce

Indianapolis, IN • On-site

$98K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Rolls-Royce rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

27th of 490 rated machine equipment manufacturers

Job description

Job Description
Job Title: System Safety and Reliability Engineer
Working Pattern: Full time
Working location: Indianapolis, IN/ (Hybrid - 3 days onsite)
Relocation assistance will be provided as applicable.
Global Grade/Level: GG10
Why Rolls-Royce?
At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere.
By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first.
You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence.
Position Summary
To ensure at all phases of the product lifecycle, that the Safety & Reliability attributes of the product are understood and that the risks arising from it are managed to an acceptable level. Contribute to the capability acquisition / improvement as well as to the technical and process governance of the S&R capability.
What you will be doing
  • Do you have an abundance of curiosity? A persistent unease with 'safe enough' and a relentless drive to prevent failures?
  • Do you possess multi-disciplinary collaboration skills, including facilitation, communication, and influence?
  • Do you enjoy working on a team, drawing upon and contributing to the diverse technical backgrounds of its members?
    • As a System Safety & Reliability Engineer, you'll be part of a team that ensures the safety and reliability attributes of our products are understood and risks are managed to an acceptable level. This role involves the integration of diverse areas of knowledge to create and support complex systems that enable reliable system operation under highly challenging conditions.
    • Tasks include mathematical modeling of complex systems, probabilistic safety assessments, and hazard assessments, extracting actionable insights to improve our products. We apply multi-domain engineering knowledge for components and systems, detailing failure mechanisms and their system effects.
  • Understand the product's degradation and failure mechanisms, their associated consequences and the hazards they contribute to. Where applicable, develop and deploy models to characterize them using deterministic or probabilistic / data mining techniques.
  • Lead and conduct the assessment of new and derivative design solutions/architectures, product operation and maintenance practices to evaluate their impact on product Safety & Reliability. Develop and deploy models at component, system and asset levels to characterize the product's Safety & Reliability attributes. Support the associated part / function classification activities.
  • Analyze and quantify risks associated with human / system interaction addressing both Human Error and the hazards arising from errors committed by personnel and also Hazards to personnel arising from system / equipment malfunction, damage or features inherent in the design.
  • Support product development and entry into service phases through the coordination and/or provision of Safety & Reliability documentation (e.g. FHA, FMECA, SSA, TLD, safety class analysis, fault schedules, OCL, etc.).
  • Support product in-service phase through the coordination and/or execution of the S&R work required to address specific in-service issues or concerns (e.g. SAR, Red Top) and support Periodic Safety Review activities.
  • Lead FRACAS or relevant event management system at in-service phases.
  • Derive lessons learnt, identify and develop improvements in tools, methods and processes and support their globalization

Basic Requirements:
  • Bachelor's degree in Mathematics, Actuarial Science or Engineering with 2+ years of experience, OR
  • Master's degree in Mathematics, Actuarial Science or Engineering, OR
  • JD/PhD in Mathematics, Actuarial Science or Engineering,
  • To be considered for this role, you must be a US Citizen, must be eligible for a security clearance

Preferred Requirements:
  • Good understanding of the construction and operation of a gas-turbine engine.
  • Technical experience in the use of Safety and/or Reliability engineering tools (e.g.) Weibull++, XFMEA, XFRACAS, @RISK, Reliability Workbench.
  • Proven ability to apply logical, analytical and innovative thinking on a range of technical problems.
  • Proven ability to handle ambiguity.
  • Strong interest in statistics, probability, and reliability prediction
  • Multi-disciplinary collaboration skills, including facilitation and communication at the component, sub-system, and system level
  • Member of ASQ working toward Certified Reliability Engineer credentials

Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong.
Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive.
Infinite Potential
Closing Date: 08/28/2026
#CLOLI
Job Category
Engineering for Services
Job Posting Date
11 Aug 2026; 00:08
Pay Range
$94,160 - $153,010-Annually
Location:
Indianapolis, IN
Benefits
Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.

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