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Remote Mathematical Modeling Jobs (NOW HIRING)

Meridial

$65/hr

... models on topics like real and complex analysis, optimization theory, mathematical proofs, set ... Remote Seniority level: MidSenior Level

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Senior Mathematician

ABOUT THE ROLE We're building a brand-new, US-based, fully remote game studio developing new slot games and we're looking for an experienced Senior Mathematician to develop the math models that power ...

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Senior Mathematician

$108K - $123K/yr

ABOUT THE ROLE We're building a brand-new, US-based, fully remote game studio developing new slot games and we're looking for an experienced Senior Mathematician to develop the math models that power ...

ARRISE

Associate Mathematician

ABOUT THE ROLE We're building a brand-new, US-based, fully remote game studio developing new slot games and we're looking for an Associate Mathematician to help develop the math models that power our ...

ARRISE

Associate Mathematician

$15 - $19.75/hr

ABOUT THE ROLE We're building a brand-new, US-based, fully remote game studio developing new slot games and we're looking for an Associate Mathematician to help develop the math models that power our ...

TUTORSMART TOLEDO

Math Instructional Coach

Toledo, OH · Remote

$30/hr

The role supports intervention across the elementary and middle grades as the TutorSmart math model ... Ability to work both independently and as a team member in a remote setting. * Ability to relate ...

TUTORSMART TOLEDO

Math Instructional Coach

Toledo, OH · Remote

$30/hr

The role supports intervention across the elementary and middle grades as the TutorSmart math model ... Ability to work both independently and as a team member in a remote setting. * Ability to relate ...

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Remote Mathematical Modeling information

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How much do remote mathematical modeling jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote mathematical modeling in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote mathematical modelers, and how can they be addressed?

Remote mathematical modelers often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication regarding model requirements, and managing complex data sets independently. These can be addressed by utilizing collaborative tools like shared code repositories, regular virtual meetings, and clear documentation practices. Additionally, proactively seeking feedback and maintaining open channels of communication with stakeholders can help ensure alignment and successful project outcomes.

What is remote mathematical modeling?

Remote mathematical modeling involves using mathematical equations and computational methods to represent real-world systems or processes, all while working from a location outside of a traditional office environment. Professionals in this field use tools like MATLAB, Python, or R to develop and analyze models for industries such as finance, engineering, healthcare, and environmental science. The remote aspect allows for flexible collaboration with teams worldwide through digital communication platforms. This role typically requires strong analytical skills, problem-solving abilities, and proficiency in mathematical software.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Modeler, and why are they important?

To thrive as a Remote Mathematical Modeler, you need a strong background in mathematics, statistics, and computational modeling, typically supported by a relevant degree such as mathematics, engineering, or physics. Proficiency with technical tools like MATLAB, R, Python, and specialized modeling software, as well as experience with data analysis and simulation platforms, is essential. Strong problem-solving, analytical thinking, and effective written communication skills set top performers apart in this role. These skills are crucial for developing accurate models, interpreting complex data remotely, and delivering clear insights to clients or stakeholders.
More about Remote Mathematical Modeling jobs
What cities are hiring for Remote Mathematical Modeling jobs? Cities with the most Remote Mathematical Modeling job openings:
What are the most commonly searched types of Mathematical Modeling jobs? The most popular types of Mathematical Modeling jobs are:
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Remote Mathematical Modeling jobs near you
Infographic showing various Remote Mathematical Modeling job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 79% Full Time, 11% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 17 days ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

Apply