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Holiday Monte Carlo Simulation Jobs (NOW HIRING)

PharmaACE

Engagement Manager

Princeton, NJ · On-site

$90 - $140/hr

... 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 ...

New

PharmaACE

$90 - $140/hr

... 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 ...

New

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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Holiday Monte Carlo Simulation information

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$11K

$67.6K

$121.5K

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

As of Aug 24, 2026, the average yearly pay for holiday 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 Holiday Monte Carlo Simulation vs Holiday Risk Analyst?

AspectHoliday Monte Carlo SimulationHoliday Risk Analyst
Primary RoleUses simulation techniques to model holiday-related financial risks and scenariosAnalyzes and assesses holiday season risks impacting business operations
Required SkillsStatistical modeling, programming, risk analysisRisk assessment, data analysis, industry knowledge
Work EnvironmentFinance, insurance, or retail sectors during holiday seasonsRetail, travel, or hospitality industries during holiday periods

Holiday Monte Carlo Simulation professionals focus on creating models to predict holiday-related risks using advanced statistical techniques, while Holiday Risk Analysts evaluate and manage risks specific to holiday seasons. Both roles require analytical skills but differ in their approach and scope within the industry.

More about Holiday Monte Carlo Simulation jobs

What cities are hiring for Holiday Monte Carlo Simulation jobs?

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What are the most commonly searched types of Monte Carlo Simulation jobs?

The most popular types of Monte Carlo Simulation jobs are:

What states have the most Holiday Monte Carlo Simulation jobs?

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Holiday Monte Carlo Simulation jobs near you
Infographic showing various Holiday Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 53% Full Time, 34% Part Time, and 12% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

AI System Analyst (AI Monte Carlo)

Saransh Inc

Houston, TX • On-site

Contractor

Re-posted 2 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