Simulation Expert - Veear : Job Details

Job Summary: 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. Key Responsibilities:1. Simulation Model Development:

• Design, develop, and maintain discrete event simulation models to evaluate and improve supply chain operations.
• Build scalable simulation frameworks in Python (e.g., using SimPy or other simulation libraries), with openness to exploring other platforms or tools.
• Collaborate with stakeholders to define key performance indicators (KPIs), data requirements, and realistic assumptions in simulation modeling.

2. Digital Twin Architecture:

• Lead the development of a digital twin for our Supply Chain, integrating real-time data feeds and advanced analytics.
• Ensure the digital twin can replicate physical processes accurately and provide actionable insights for operational improvements.

3. Optimization & Operations Research:

• Apply advanced optimization methods (linear programming, mixed-integer programming, heuristic algorithms, etc.) to support supply chain decision-making.
• Work closely with cross-functional teams to identify areas of opportunity for optimization in transportation, inventory, and warehouse operations.

4. Data Analysis & Insights

• Process, cleanse, and validate the integrity of data used for modeling and analytics.
• Perform statistical analysis and experimentation to validate model assumptions and improve simulation accuracy.
• Translate simulation and optimization results into actionable recommendations and present findings to both technical and non-technical audiences.

5. Collaboration & Stakeholder Management:

• Partner with engineering, supply chain, product teams, and senior leadership to align on project goals and ensure end-to-end delivery of solutions.
• Communicate complex technical concepts clearly to diverse stakeholders and lead cross-functional project teams when necessary.

6. Continuous Improvement & Innovation:

• Stay abreast of the latest simulation tools, optimization algorithms, and data science practices; proactively recommend new methods and technologies.
• Mentor junior data scientists and provide technical guidance on simulation best practices.

Qualifications:1. 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.

2. 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.

3. Soft Skills:

• Problem-Solving: Strong analytical thinking with a structured and results-oriented approach.
• Communication: Excellent written and verbal communication skills, with the ability to simplify complex technical concepts.
• Collaboration: Proven ability to work in cross-functional teams, influence stakeholders, and drive consensus.
• Innovation Mindset: Eagerness to explore new technologies and drive continuous improvement.

4. Additional Requirements:

• Experience in supply chain, logistics, retail, or e-commerce industry preferred.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Passion for bridging gaps between theoretical models and real-world implementation.