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Freelance 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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How much do freelance monte carlo simulation jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for freelance monte carlo simulation in the United States is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Freelance Monte Carlo Simulation vs Data Analyst?

AspectFreelance Monte Carlo SimulationData Analyst
Required CredentialsStrong background in statistics, probability, and programming; often self-taught or with specialized certificationsBachelor's or master's in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentIndependent, project-based, remote or on-site consultingTypically in-office or remote, working with company data teams
Industry UsageFinance, risk management, engineering, researchBusiness, marketing, healthcare, finance

Freelance Monte Carlo Simulation specialists focus on probabilistic modeling and risk analysis on a project basis, often working independently. Data Analysts interpret data to inform business decisions, usually within organizations. While both roles require analytical skills, Monte Carlo Simulation freelancers emphasize simulation techniques, whereas Data Analysts focus on data interpretation and reporting.

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Freelance Monte Carlo Simulation jobs near you
Infographic showing various Freelance Monte Carlo Simulation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $47,772 per year, or $23 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