Simulation Developer – Data Scientist (Simulation & Modeling)

Ampcus Inc. • Pleasanton, CA

2d • Onsite

About The Position

We are seeking a highly skilled and motivated Data Scientist with expertise in simulation modeling, probability theory, and Python programming. This role focuses on designing and deploying simulation frameworks to evaluate and optimize enterprise solutions. Ideal candidates will have experience in inventory models, stochastic processes, and building scalable simulation systems.

Requirements

• Hands-on experience with simulation modeling and inventory systems.
• Proficiency in Python, SQL, and PySpark.
• Strong understanding of probability theory, stochastic modeling, and Monte Carlo simulation.
• Experience with Databricks or similar enterprise cloud environments.
• Familiarity with CI/CD principles and GitHub Enterprise.
• Self-starter with an ownership mindset and ability to work independently.

Nice To Haves

• Experience in retail, supply chain, or operations research.
• Familiarity with cloud platforms (Azure, AWS, GCP).

Responsibilities

• Design, develop, and deploy simulation models for inventory and operational systems using Python, SQL, and PySpark on platforms like Databricks.
• Apply probability theory and Monte Carlo methods to model uncertainty and variability.
• Collaborate with Data Engineers and Data Scientists to define simulation inputs and integrate pipelines.
• Implement CI/CD principles and manage code repositories using GitHub Enterprise.
• Validate and calibrate simulation models using historical data and sensitivity analysis.
• Ensure code quality, scalability, and maintainability in production environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed