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From Home Monte Carlo Simulation Jobs (NOW HIRING)

PharmaACE

Engagement Manager

Princeton, NJ · On-site

... Monte Carlo simulation to quantify uncertainty related to market share, launch timing, competitive dynamics, and patient adoption . Requirements 1. Bachelor's in Pharmacy and 2 years experience ...

PharmaACE

... Monte Carlo simulation to quantify uncertainty related to market share, launch timing, competitive dynamics, and patient adoption . Requirements 1. Bachelor's in Pharmacy and 2 years experience ...

MDAEdge

Python Developer - Oil & Gas Sector

Houston, TX · On-site

$48 - $66/hr

The role involves developing Python-based analytics workflows, building Monte Carlo simulations, and creating visualizations to communicate insights to stakeholders. Responsibilities : • Develop ...

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From Home Monte Carlo Simulation information

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

As of Sep 14, 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
Infographic showing various From Home Monte Carlo Simulation job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

AI System Analyst (AI Monte Carlo)

Houston, TX • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

Contractor

Re-posted 24 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