Modelling & Simulation Scientist, Computational Physics

Modelling & Simulation Scientist, Computational Physics

R-166195 | East Hanover, New Jersey, United States

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

• 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.

• 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., Num Py, Sci Py, 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, Tensor Flow, or PyTorch).
• Version control proficiency using Git / Git Hub / Git Lab for collaborative code management.

• 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, Solid Works

• 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.

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.

Master'…