Data Scientist – Simulation & Digital Twin

Job Title: Data Scientist – Simulation & Digital Twin

Role Overview

We are seeking a highly skilled Data Scientist with strong expertise in simulation modeling, digital twins, and advanced optimization techniques. The ideal candidate will have hands-on experience with Agent-Based Modeling (ABM), Discrete-Event Simulation (DES), and reinforcement learning (RL), along with exposure to high-fidelity 3D visualization platforms.

This role will focus on building intelligent simulation environments and digital twins to support data-driven decision-making and operational optimization.

Key Responsibilities

• Design, develop, and deploy simulation models using tools such as AnyLogic, FlexSim, or similar platforms.
• Build hybrid simulation systems combining Agent-Based Modeling (ABM) and Discrete-Event Simulation (DES) to solve complex real-world problems.
• Translate simulation outputs into actionable insights that influence operational and strategic decisions.
• Develop and integrate Reinforcement Learning (RL) agents within simulation environments to optimize processes and system performance.
• Create and maintain digital twin environments with synchronized simulation logic and 3D visualization layers.
• Work with platforms such as NVIDIA Omniverse (or similar) to build high-fidelity, real-time simulation visualizations.
• Ensure seamless synchronization between backend simulation engines (e.g., AnyLogic) and 3D visualization environments.
• Collaborate with cross-functional teams including engineering, operations, and product stakeholders to align simulation outputs with business goals.

Required Qualifications

• Strong experience in simulation modeling using AnyLogic, FlexSim, or similar tools.
• Proven experience working on projects that combine ABM and DES, with the ability to clearly articulate:
• Use case and modeling approach
• Outputs generated
• Business or operational decisions influenced
• Hands-on experience integrating Reinforcement Learning (RL) agents into simulation environments.
• Solid programming skills in Python (or similar), with experience in data analysis and model development.
• Strong problem-solving skills and ability to translate complex systems into simulation models.

Preferred Qualifications

• Experience with NVIDIA Omniverse or similar high-fidelity 3D visualization platforms.
• Demonstrated ability to synchronize logic-based simulations (e.g., AnyLogic) with 3D digital twin environments.
• Experience building real-time or near real-time digital twins.
• Familiarity with APIs, middleware, or data pipelines connecting simulation engines and visualization platforms.

Portfolio Requirement

• Candidates are strongly encouraged to provide a portfolio, recorded demo, or walkthrough of:
• A 3D Digital Twin
• A simulation environment
• Or a hybrid simulation + visualization project
• This will be reviewed during the technical interview stage.

Nice to Have

• Experience in supply chain, manufacturing, logistics, or smart city simulations
• Knowledge of optimization techniques and stochastic modeling
• Exposure to cloud-based simulation environments

What We Offer

• Opportunity to work on cutting-edge simulation and digital twin technologies
• Collaborative and innovation-driven environment
• Exposure to real-world, high-impact optimization problems