Simulation Developer – Data Scientist (Simulation & Modeling)

Ampcus, Inc; Pleasanton (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading consulting firm in Pleasanton, CA is seeking a skilled Simulation Developer - Data Scientist. You will design and deploy simulation frameworks and must possess strong skills in Python, SQL, and simulation modeling. The ideal candidate has experience with Databricks and CI/CD principles. Join us to make impactful enterprise solutions!

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.

Responsibilities

• Design, develop, and deploy simulation models for inventory and operational systems.
• Apply probability theory and Monte Carlo methods to model uncertainty.
• Collaborate with Data Engineers and Data Scientists.
• Implement CI/CD principles and manage code repositories.
• Validate and calibrate simulation models using historical data.
• Ensure code quality, scalability, and maintainability.

Skills

Simulation modeling

Python

SQL

PySpark

Probability theory

Stochastic modeling

Monte Carlo simulation

CI/CD principles

GitHub Enterprise

Tools

Databricks

Azure

AWS

GCP

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Simulation Developer - Data Scientist (Simulation & Modeling)
Location(s): Pleasanton, CA.

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).

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.