ZipRecruiter

Log In

2

Full Time Mathematical Modeling Jobs (NOW HIRING)

LICK WILMERDING HIGH SCHOOL

Math Teacher

San Francisco, CA

$55K - $72K/yr

... model our core values: Belonging, Excellence, Craft, and Optimism. POSITION DESCRIPTION Lick-Wilmerding High School currently seeks a dedicated educator to join our math department as full-time Math ...

Lick-Wilmerding High School

Math Teacher

San Francisco, CA · On-site

$7.0K - $14K/mo

... model our core values: Belonging, Excellence, Craft, and Optimism. POSITION DESCRIPTION Lick-Wilmerding High School currently seeks a dedicated educator to join our math department as full-time Math ...

Weeghman & Briggs LLC

Senior AI/ML Analyst

Huntsville, AL · On-site

$86K - $114K/yr

Minimum TS Clearence Employment Type: Full-Time Join a Growing Team at Weeghman & BriggsWeeghman ... robustnessDevelops mathematical models and simulations of AI behaviorWhat You BringExperience ...

previous page

Showing results 41-60

All JobsFull Time JobsTechnology JobsFull Time Mathematical Modeling Jobs

Full Time Mathematical Modeling information

See salary details

$27.5K

$56.7K

$60.5K

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

As of Sep 14, 2026, the average yearly pay for full time mathematical modeling in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 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.
More about Full Time Mathematical Modeling jobs

What cities are hiring for Full Time Mathematical Modeling jobs?

Cities with the most Full Time Mathematical Modeling job openings:

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

The most popular types of Mathematical Modeling jobs are:

What job categories do people searching Full Time Mathematical Modeling jobs look for?

The top searched job categories for Full Time Mathematical Modeling jobs are:

What other helpful pages are available for Full Time Mathematical Modeling?

Other pages related to Full Time Mathematical Modeling:

Full Time Mathematical Modeling jobs near you
Infographic showing various Full Time Mathematical Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.

Postdoctoral Appointee - Battery Modeling, Electrochemistry, and AI

Lemont, IL • On-site

Argonne National Laboratory
Scientific Research and Development Services • 1 - 5K employees
Learn more about Argonne National Laboratoryexternal

$72K - $121K/yr

Full-time

Re-posted 21 days ago

Job description

We invite applications for aPostdoctoral Appointeeposition in theChemical Sciences and Engineering Division (CSE)at Argonne National Laboratory.

Working under the guidance of a supervisor, the successful candidate will conduct research focused onmeso- and macroscale mathematical modeling of next-generation batteries, while leveraging advancedartificial intelligence (AI) toolsto accelerate scientific discovery. Research areas includesolid-state batteries with lithium and sodium metal anodes, as well as themorphology evolution of materialscoupled with electrochemical and mechanical phenomena.

The selected candidate will developcomputational models at the mesoscale and/or macroscalebased on the principles ofmass, momentum, and energy conservationto describe processes such asmorphological change, dendrite growth, side reactions, delamination, and related behavior in hard and soft materials. A strong emphasis will be placed on theintegration of AI methods and agentic workflowsinto model development and scientific analysis.

This position offers the opportunity to collaborate closely withexperimental teamsworking in areas such aselectrochemical characterization and synchrotron analysis, as well as withtheoretical researchersspecializing inatomistic simulation, density functional theory (DFT), and ab initio molecular dynamics (AIMD). The successful candidate will also engage with collaborators across Argonne, other national laboratories, universities, and international research institutions.

Key Responsibilities

  • Develop mesoscale and/or macroscale computational models for battery materials and processes

  • Implement models and perform numerical simulations

  • Analyze and interpret simulation and experimental data

  • Integrate AI tools and workflows to enhance modeling and accelerate learning

  • Collaborate with interdisciplinary experimental and theoretical research teams

  • Prepare manuscripts for submission to peer-reviewed journals

  • Present research findings at scientific conferences and meetings

  • Prepare reports, presentations, and technical summaries for group meetings and sponsor reporting requirements

Position Requirements

  • Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemical Engineering, Mechanical Engineering, Materials Science, Chemistry, or a related field

  • A deep understanding ofelectrochemistry, electrochemical engineering, and battery science

  • Strong experience in developing computational models based onmass, momentum, and energy balance principles

  • Strong skills in applyingAI tools and agentic workflowsto scientific research

  • Some experience in proposing, planning, and designing experiments

  • Demonstrated ability to process, analyze, and interpret research results

  • Strong skill in formulating and solving scientific problems

  • Excellent written and oral communication skills

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Apply