

Management Consulting Group
Simulation Developer – Data Scientist (Simulation & Modeling)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Simulation Developer – Data Scientist focused on simulation modeling and optimization, requiring 2-6 years of experience, proficiency in Python, SQL, and PySpark, with a pay rate of $60/hr for remote work supporting PST, CST, or EST time zones.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 7, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
-
🧠 - Skills detailed
#Spark (Apache Spark) #Databricks #Cloud #GitHub #Data Engineering #AWS (Amazon Web Services) #Python #Programming #Scala #Azure #SQL (Structured Query Language) #GCP (Google Cloud Platform) #PySpark #Data Science
Role description
Simulation Developer – Data Scientist (Simulation & Modeling) 11156-1
2 Remote roles supporting PST, CST or EST time zones
Client: Gap
W2 hrly Pay 60
2-6 yrs of exp
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.
• Hands-on experience with simulation modeling and inventory systems is required
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.
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).
Simulation Developer – Data Scientist (Simulation & Modeling) 11156-1
2 Remote roles supporting PST, CST or EST time zones
Client: Gap
W2 hrly Pay 60
2-6 yrs of exp
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.
• Hands-on experience with simulation modeling and inventory systems is required
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.
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).






