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Part Time Monte Carlo Simulation Jobs (NOW HIRING)

Cost Analyst

San Diego, CA · On-site

$61K - $141K/yr

... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cost Analyst

San Diego, CA · On-site

$61K - $141K/yr

... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cost Analyst

San Diego, CA · On-site

$141K/yr

... using Monte Carlo simulation sof t war e such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cost Analyst

San Diego, CA · On-site

$61K - $141K/yr

... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Risk Manager

East Windsor, NJ · On-site

$121K - $1M/yr

Develop Monte Carlo simulations to quantify risks identified in the workshop * Prepare written ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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Part Time Monte Carlo Simulation information

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$11K

$67.6K

$121.5K

How much do part time monte carlo simulation jobs pay per year?

As of Jun 30, 2026, the average yearly pay for part time 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 Part Time Monte Carlo Simulation vs Part Time Data Analyst?

AspectPart Time Monte Carlo SimulationPart Time Data Analyst
Required CredentialsStatistics, Mathematics, ProgrammingStatistics, Data Analysis, Programming
Work EnvironmentFinancial, Insurance, Risk ManagementBusiness, Marketing, Finance
Industry UsageModeling, Risk AssessmentData Interpretation, Reporting

Part Time Monte Carlo Simulation involves creating probabilistic models to assess risks and uncertainties, often requiring advanced statistical and programming skills. Part Time Data Analysts focus on interpreting data sets, generating reports, and supporting decision-making. While both roles require analytical skills and some overlapping credentials, Monte Carlo Simulation is more specialized in modeling complex probabilistic scenarios, whereas Data Analysts handle broader data interpretation tasks.

More about Part Time Monte Carlo Simulation jobs
What cities are hiring for Part Time Monte Carlo Simulation jobs? Cities with the most Part Time Monte Carlo Simulation job openings:
What are the most commonly searched types of Monte Carlo Simulation jobs? The most popular types of Monte Carlo Simulation jobs are:
Temporary Graduate Research Assistant

Temporary Graduate Research Assistant

Worcester Polytechnic Institute

Worcester, MA • On-site

$21/hr

Part-time

Posted 6 days ago


Job description

JOB TITLE
Temporary Graduate Research Assistant
LOCATION
Worcester
DEPARTMENT NAME
Fire Protection Engineering - JM
DIVISION NAME
Worcester Polytechnic Institute - WPI
JOB DESCRIPTION SUMMARY
We are seeking a highly motivated graduate student to join our research team in the Fire Protection Engineering Department at WPI. The position is focused on developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench. The role requires a strong background in probabilistic modeling, data analysis, Python programming, and machine learning.
JOB DESCRIPTION
Skills and Experience:
  • Probabilistic Modeling: Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
  • Python Programming: Proficiency in Python for data processing, simulation pipelines, and automation (NumPy, pandas, SciPy, etc.).
  • Machine Learning: Familiarity with ML frameworks (scikit-learn, TensorFlow, or PyTorch) for wildfire risk modeling and pattern recognition.
  • Geospatial Data Analysis: Experience handling large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools).
  • Fire Spread Models: Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE is a plus.
  • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.

Required Skills:
  • Python, Machine Learning, Monte Carlo Simulation, GIS/Geospatial Tools
  • Learning Outcomes Ability to Learn Quickly
  • Accuracy, Accurate Listening, Analytical Thinking
  • Collaboration, Communication, Data Analysis, Probabilistic Reasoning
  • Open Minded, Time Management, Verbal Communication

Job Requirements:
  • A current Master's candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field is required.

Compensation:
Hourly rate is $21.00 based on experience. To apply please submit a cover letter and resume/cv
FLSA STATUS
United States of America (Non-Exempt)
WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.