About the Role
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.

Key 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.

Required Qualifications

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.

Preferred Qualifications

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