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Open nowPosted 152 days ago

Modelling & Simulation Scientist, Computational Physics

mdlz17 open roles

Pay
$97,300 – $133,815 a year
Where
East Hanover, New Jersey, United States
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Your applicationOpen nowModelling & Simulation Scientist, Computational Physicsmdlz · East Hanover, New Jersey, United States

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. mdlz postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 152 days ago

mdlz median: 2 days open

The posting

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Working as part of a cross-functional team covering broad modelling disciplines, you are an internally recognized expert in computational physics, a technical area of critical importance to the R&D function. You identify, define and solve complex modelling and simulation problems, tackling R&D's highest priority ingredient, product, process, and packaging challenges. Applying your in-depth knowledge of this technical specialty, you will drive rapid, high-quality innovation capabilities across Mondelez's portfolio, spanning chocolate, biscuit, gum, and candy categories.

How you will contribute

You will bring computational physics modelling & simulation capabilities to Mondelez R&D's highest priority areas, developing solutions to move R&D work away from large, factory-scale trials towards small-scale or in silico predictions. Specifically, you will:

  • Design and deliver rapid simulation capabilities to drive solutions to business challenges.
  • Plan, lead, and manage modelling and simulation projects, scoping and proposing opportunities for sustained business impact.
  • Work closely with engineers and scientists to define complex technical challenges and agree on problem scope.
  • Communicate complex problems simply to non-technical audiences with relevant business context.
  • Define the data required to build models; collaborate with internal teams or external organizations to collect this information, which may include designing experimental tests.
  • Use software tools to design, build, test, and implement simulations — or select and manage delivery through an external partner.
  • Ensure simulations are validated against experimental data, including any required experiments or factory trials.
  • Deploy models via simple UIs using the Mondelez-approved technology stack, in collaboration with IT and/or external partners.
  • Establish strategy and roadmap for integrating computational physics into R&D business processes.
  • Quantify and communicate the value of computational physics to stakeholders, the associated plan, and embed learnings into business processes to accelerate innovation and optimization.
  • Author best-practice documentation and knowledge-base articles from project learnings.
  • Share knowledge and coach junior colleagues, building internal modelling & simulation capability across R&D.
  • Maintain data management practices — ensuring models, datasets, and simulation outputs are documented and stored in line with company data governance policies.
  • Research and keep pace with developments in relevant modelling, simulation, and virtual prototyping techniques.
  • Provide regular project updates to senior stakeholders, flagging potential impediments and resource needs.

What you will bring

Physics & Modelling Fundamentals

  • Fundamental understanding of materials' physical properties: how these are measured and modelled (e.g. viscosity, thermal conductivity, rheology).
  • Solid understanding of how physical transformations can be modelled (e.g. conduction of heat, fluid mixing, phase change).
  • Ability to decompose complex engineering problems into tractable steps and manage technical ambiguity.
  • Ability to create and validate models to test and predict real-world scenarios.

Programming & Software

  • Proficient in Python for scientific computing, data analysis, and model deployment (e.g. NumPy, SciPy, pandas, matplotlib).
  • Familiarity with additional languages such as MATLAB, C++, or Julia is advantageous.
  • Experience with machine learning and surrogate modelling frameworks (e.g. scikit-learn, TensorFlow, or PyTorch).
  • Version control proficiency using Git / GitHub / GitLab for collaborative code management.

Simulation & Engineering Tools

Experience in one or more of the following:

  • Game-engine physics: Unreal Engine, PhysX, Unity
  • Computational fluid dynamics: ANSYS Fluent, COMSOL Multiphysics
  • Finite element analysis (ANSYS, Abaqus)
  • Process modelling: gPROMS, Witness, Aspen
  • Discrete element method: Rocky DEM, EDEM
  • Extended realities (AR/VR) for visualization
  • Computer-aided design: Fusion 360, SolidWorks

Technical Rigor

  • Strong analytical problem-solving mindset; operates effectively under ambiguity.
  • Works with independence and self-direction; takes ownership of technical decisions and outcomes.
  • Solid communication skills — able to present complex technical work in engaging presentations and clear written reports for diverse audiences.
  • Active listener who builds credibility through collaborative and inclusive ways of working.
  • Demonstrates a growth mindset: proactively seeks new knowledge and shares learnings with the team.
  • Comfortable influencing across all levels of the organization, including senior leadership.

More about this role

What you need to know about this position: This is a technical modeler role where you will work collaboratively to scope opportunities, define problems, identify solutions, and build and deploy modeling and simulation techniques to support rapid product development decisions.

Education / Certifications: Master's degree in mathematical/computational/Theoretical Physics, or Engineering required

Job specific requirements:

  • Ph.D in Mathematical/Computational/Theoretical Physics, or Engineering preferred
  • 3-5 years combined relevant experience (food and beverage experience preferred

Travel requirements: Up to 10%

Work schedule: Hybrid - 3 Days a week from office

Salary and Benefits:

The base salary range for this position is $97,300 to $133,815; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.

In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products —are close at hand for our consumers across the country.

Mondelēz Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal

Job Type

Regular

Scientific Modelling & Simulation

Science & Engineering

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