Scientist, Modelling & Simulation

Mondelēz International • East Hanover, NJ

4d • Hybrid

About The Position

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. 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.

Requirements

• 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.
• 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.
• 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
• 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.
• Master's degree in mathematical/computational/Theoretical Physics, or Engineering required
• 3-5 years combined relevant experience (food and beverage experience preferred)

Nice To Haves

• Ph.D in Mathematical/Computational/Theoretical Physics, or Engineering preferred

Responsibilities

• 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.

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
• highly competitive bonus program with possibility for overachievement based on performance and company results

What This Job Offers

• Job Type: Full-time
• Career Level: Senior