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Remote Monte Carlo Simulation Jobs (NOW HIRING)

... for remote work to be determined by the program manager and customer. Essential Functions ... Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned ...

Experience with development of logistic regression and forecasting Monte-Carlo simulation models. * Knowledge of credit analysis, and experience with constructing and monitoring risk measures.

Lead Simulation Engineer

Hawthorne, CA · On-site +1

$142K - $235K/yr

Experience with simulation verification and validation (V&V), Monte Carlo or statistical performance analysis, and performance optimization for real-time or accelerated simulation execution

$180K - $240K/yr

Enable structured Monte Carlo and multi-scenario validation workflows * Develop infrastructure to simulate sensor inputs and autonomy behaviors in realistic operational contexts * Improve determinism ...

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How much do remote monte carlo simulation jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote monte carlo simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a remote Monte Carlo simulation?

A Remote Monte Carlo Simulation job involves using probability and statistical models to predict outcomes and assess risks in various scenarios, all while working from a remote location. Professionals in this role typically use specialized software to run large numbers of simulations, analyze data, and help organizations make data-driven decisions. These jobs are common in fields such as finance, engineering, physics, and insurance. Working remotely allows for flexibility and access to global opportunities, as most tasks can be performed using computers and online collaboration tools.

What are the key skills and qualifications needed to thrive in remote Monte Carlo simulation?

To excel as a Remote Monte Carlo Simulation Specialist, you need a strong background in mathematics, statistics, and computational modeling, often supported by a relevant degree in fields such as engineering, physics, or applied mathematics. Proficiency with programming languages like Python or MATLAB, as well as familiarity with simulation software and tools such as @Risk or Crystal Ball, is typically required. Strong analytical thinking, attention to detail, and effective remote communication are crucial soft skills for this role. These competencies ensure accurate simulation results, facilitate collaboration across distributed teams, and enable effective problem-solving in complex modeling scenarios.

What are some common challenges faced by professionals working in remote Monte Carlo simulation roles, and how can they be addressed?

Professionals in remote Monte Carlo simulation roles often encounter challenges such as coordinating with geographically dispersed teams, ensuring access to high-performance computing resources, and effectively communicating complex results to stakeholders. Overcoming these hurdles typically involves utilizing collaborative platforms for code sharing and documentation, scheduling regular virtual meetings to align project goals, and leveraging cloud-based computing solutions. Building strong communication skills and maintaining clear documentation are essential for remote team success in this field.
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Infographic showing various Remote Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Simulation Developer - Data Scientist (Simulation & Modeling)

Ampcus Inc

Remote

Full-time

Re-posted 21 days ago


Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a highly skilled and motivated Data Scientist with expertise in simulation modeling to design and deploy simulation frameworks for enterprise solutions.
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.
Qualifications:
Required:
• 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:
• Experience in retail, supply chain, or operations research.
• Familiarity with cloud platforms (Azure, AWS, GCP).
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004