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From Home Monte Carlo Simulation Jobs (NOW HIRING)

Monte Carlo

Applied Forward Deployed Engineer (FDE)

$140K - $180K/yr

As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human ...

Monte Carlo

Strategic Account Executive, East

New York, NY · On-site

$150K - $175K/yr

As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human ...

Monte Carlo

Strategic Account Executive, West

Seattle, WA · On-site

$140K - $160K/yr

As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human ...

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All JobsMonte Carlo Simulation JobsFrom Home Monte Carlo Simulation Jobs

From Home Monte Carlo Simulation information

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$11K

$67.6K

$121.5K

How much do from home monte carlo simulation jobs pay per year?

As of Jun 16, 2026, the average yearly pay for from home 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 the difference between From Home Monte Carlo Simulation vs Data Analyst?

AspectFrom Home Monte Carlo SimulationData Analyst
Required credentialsMathematics, statistics, or related degrees; proficiency in simulation softwareStatistics, data analysis, or related degrees; proficiency in Excel, SQL, and visualization tools
Work environmentRemote, often project-based, focused on modeling and risk analysisRemote or on-site, analyzing data sets, creating reports, and supporting decision-making
Industry usageFinance, insurance, risk management, and research sectorsBusiness, marketing, finance, healthcare, and technology sectors

From Home Monte Carlo Simulation specialists focus on creating probabilistic models to assess risks and uncertainties, often requiring advanced statistical skills. Data Analysts interpret data, generate insights, and support strategic decisions across various industries. While both roles may work remotely and require analytical skills, Monte Carlo Simulation roles emphasize modeling and risk assessment, whereas Data Analysts focus on data interpretation and reporting.

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From Home Monte Carlo Simulation jobs near you

AI System Analyst (AI Monte Carlo)

Saransh Inc

Houston, TX • On-site

Contractor

Posted 23 days ago

Job description

Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Contract
 
Experience Required: 10-12 years
 
Mandatory skills:
  • AI Monte Carlo
  • Python
     
Key Responsibilities:
  • Solution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).
  • Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.
  • Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.
  • End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.
  • Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.
Technical Qualifications:
  • Core AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.
  • Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).
  • Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strategic Thinking: 10+ years of experience navigating the trade