Simulation Expert (Data Scientist / Operations Research)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Veear, is seeking the following. Apply via Dice today!

• We are seeking a Simulation Expert to design and implement advanced discrete event simulations and develop digital twin capabilities for our supply chain. In this role, you will collaborate with cross-functional teams—including engineering, operations, product management, and other data scientists—to model complex supply chain scenarios, run “what-if” analyses, and translate insights into actionable strategies. While simulation is the primary focus of this position, you will also leverage optimization and operations research methods to enhance our decision-making processes.

Qualifications

• Education & Experience

• Master’s or Ph.D. in Operations Research, Industrial Engineering, Computer Science, Data Science, or a related field.

• 3+ years of hands-on experience in building discrete event simulation models and running complex simulation projects.

• Demonstrated experience with optimization techniques in a supply chain or related domain.

• Technical Skills

• Programming Languages: Proficiency in Python required; experience with simulation libraries (e.g., SimPy, AnyLogic, Arena, or similar) is highly preferred.

• Optimization & OR: Knowledge of linear programming, mixed-integer programming, and heuristic algorithms; familiarity with OR tools (e.g., PuLP, Pyomo, Gurobi, CPLEX) is advantageous.

• Data Handling: Strong skills in SQL, data wrangling, and data visualization (e.g., Tableau, Power BI, matplotlib, Plotly).

• Cloud & Big Data: Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Spark, Hadoop) is a plus.

• Simulation Best Practices: Experience with model calibration, validation techniques, and scenario-based analysis.