Here's how you can showcase your mathematical modeling skills during an interview.

1 Understand Basics

Before diving into complex models, ensure you have a solid grasp of the basics of mathematical modeling. You should be able to explain how models are constructed and validated, and the common types of models such as linear, nonlinear, integer, and dynamic programming. Understanding the assumptions and limitations of each model is crucial. When explaining this to your interviewer, use simple language to convey that you have a foundational knowledge that can be applied to more advanced problems.

3 Show Examples

Prepare to discuss specific examples of mathematical models you've developed or worked with. Describe the problem, the model you chose, and why it was appropriate. Discuss the data you used, how you ensured its reliability, and the outcomes of your model. If you've worked on a particularly successful project, highlight how your model contributed to that success. This will demonstrate not only your technical skills but also your ability to apply them in a practical setting.

4 Explain Impact

It's important to articulate how your mathematical modeling has impacted decision-making processes. Discuss any insights your models have provided and how they've led to improved outcomes. For instance, if your model helped reduce costs or increase efficiency, explain how it did so and the significance of these improvements. This shows that you understand the practical value of your work and can communicate its benefits to non-technical stakeholders.

5 Adapt Flexibly

Emphasize your ability to adapt and modify your models as needed. In the real world, data and circumstances change, and models must be updated accordingly. Share examples of how you've revised models in response to new data or feedback. This will demonstrate your flexibility and problem-solving skills, which are highly valued in Operations Research.

6 Practice Communication

Finally, practice explaining complex mathematical concepts in a way that is accessible to those without a technical background. Use analogies or simple examples to illustrate your points. This skill is particularly important when you're working in a team or need to present findings to clients or management who may not have a deep understanding of mathematical modeling. Effective communication is as critical as technical expertise in Operations Research.