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Computational Mathematics Remote Jobs (NOW HIRING)

Statistician

$70K - $80K/yr

Remote / Virtual Salary: $70,000-$80,000 annually Position Overview The Statistician is responsible ... Bachelor's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related ...

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics. * 3+ years of ...

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 ...

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Analyze, design, and implement computational models (vehicle dynamics, sound propagation, signal ...

$126K/yr

... remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in ... next-generation computational technologies. Duties and Responsibilities - Develop and apply ...

This position can potentially be remote based within the United States, or most European Countries ... Ability to apply complex mathematical concepts, including probability and statistical inference ...

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Computational Mathematics Remote information

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How much do computational mathematics remote jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for computational mathematics remote in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is computational mathematics in a remote job setting?

Computational mathematics in a remote job involves using mathematical models, algorithms, and computational techniques to solve complex problems, often in science, engineering, or finance, while working from a location outside a traditional office. Remote computational mathematicians typically use computer programming, numerical analysis, and simulations to analyze data or develop software tools. The remote aspect allows professionals to collaborate with teams and access resources virtually, making the role flexible and accessible from anywhere with a reliable internet connection.

What are some common challenges faced by remote computational mathematics professionals, and how can they be addressed?

Remote computational mathematics professionals often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication on complex mathematical concepts, and the need for reliable access to powerful computational resources. To overcome these challenges, it's important to leverage collaborative tools like version control systems, video conferencing, and shared code repositories. Regular virtual meetings and clear documentation also help maintain effective teamwork and ensure everyone stays aligned on project goals.

What are the key skills and qualifications needed to thrive as a Computational Mathematician in a remote role, and why are they important?

To thrive as a Computational Mathematician remotely, you typically need strong mathematical modeling, analytical skills, and a degree in mathematics, applied mathematics, or a related field. Proficiency in programming languages such as Python, MATLAB, or R, and experience with numerical simulation tools are often required. Excellent problem-solving, time management, and clear virtual communication skills help distinguish top performers in remote environments. These competencies are vital for solving complex problems, collaborating across locations, and efficiently delivering results in distributed teams.

What is the difference between Computational Mathematics Remote vs Data Scientist Remote?

AspectComputational Mathematics RemoteData Scientist Remote
Required CredentialsMathematics, Computer Science degrees, programming skillsStatistics, Mathematics, Programming, often a related degree
Work EnvironmentResearch-focused, algorithm development, modelingData analysis, machine learning, business insights
Industry UsageAcademia, research labs, tech companiesTech, finance, healthcare, e-commerce
Search & Comparison IntentFocus on mathematical modeling and algorithmsFocus on data analysis and predictive modeling

Computational Mathematics Remote roles primarily involve mathematical modeling, algorithm development, and research, often requiring advanced degrees in mathematics or related fields. Data Scientist Remote positions focus on analyzing data, building predictive models, and deriving insights, typically requiring skills in statistics and programming. While both roles involve data and programming, their core focus and industry applications differ.

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What cities are hiring for Computational Mathematics Remote jobs? Cities with the most Computational Mathematics Remote job openings:
What are the most commonly searched types of Computational Mathematics jobs? The most popular types of Computational Mathematics jobs are:
What states have the most Computational Mathematics Remote jobs? States with the most job openings for Computational Mathematics Remote jobs include:
What job categories do people searching Computational Mathematics Remote jobs look for? The top searched job categories for Computational Mathematics Remote jobs are:

$70K - $80K/yr

Full-time

Posted 18 days ago


Job description

Statistician (Quantitative Modeling & Simulation)
Location: Remote / Virtual
Salary: $70,000-$80,000 annually
Position Overview
The Statistician is responsible for designing, developing, and validating a Monte Carlo-based odds simulation model. This role applies advanced statistical modeling and quantitative analysis to predict outcomes based on defined parameters, ensuring accuracy, reliability, and practical usability within a production environment.
This position works closely with the development team to integrate statistical models into the platform and support data-driven decision-making.
This is a full-time, fully remote role.
Key Responsibilities
  • Design and implement Monte Carlo simulations to model probabilistic outcomes
  • Develop quantitative and statistical models based on defined parameters and assumptions
  • Validate model accuracy through testing, back-testing, and sensitivity analysis
  • Analyze large datasets to refine model inputs and improve predictive reliability
  • Document modeling logic, assumptions, and methodologies clearly
  • Collaborate with software developers to integrate models into the platform
  • Translate complex statistical outputs into clear insights for non-technical stakeholders
  • Monitor model performance and recommend improvements over time
  • Apply best practices in statistical rigor, reproducibility, and data integrity
Qualifications
  • Bachelor's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related field (Master's preferred)
  • 4-8 years of experience in statistical modeling, quantitative analysis, or simulation-based work
  • Strong experience with Monte Carlo methods and probabilistic modeling
  • Proficiency in statistical or programming tools such as Python, R, SQL, or similar
  • Experience working with large datasets and computational models
  • Strong analytical thinking and attention to detail
  • Ability to work independently in a remote environment
  • Clear written and verbal communication skills
What We Offer
  • Competitive salary range of $70,000-$80,000
  • Fully remote work environment
  • Opportunity to build and own a high-impact simulation model
  • Collaborative, technically driven team
  • Comprehensive benefits package (details provided during the interview process)
Work Environment
  • Full-time, remote position