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Remote Linear Algebra Jobs (NOW HIRING)

Meridial

$65/hr

... linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete ... Remote Seniority level: MidSenior Level

NxT Level

Senior Tools Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

Our client is looking for a Tools Programmer to join their fully remote team to build next ... Solid mathematical skills, particularly in linear algebra and geometry. * Experience with terrain ...

SAIC

OpenGL Developer

Huntsville, AL · On-site +1

$48.25 - $65/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Open GL Developer to join ... Solid understanding of 3D math (linear algebra, transformations, lighting models). * Proficient in ...

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$23

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How much do remote linear algebra jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote linear algebra in the United States is $28.85, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $30.29 per hour, depending on experience, location, and employer.

What is a remote linear algebra job?

Remote linear algebra jobs are positions where professionals use their expertise in linear algebra to solve problems, analyze data, or develop algorithms, all while working from a location outside of a traditional office. These jobs often involve tasks like mathematical modeling, data analysis, machine learning, or academic instruction, and are common in industries such as technology, finance, and education. Remote roles allow individuals to collaborate with teams or clients online, providing flexibility and the opportunity to work from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote linear algebra instructor?

To thrive as a Remote Linear Algebra Instructor, you need a solid background in mathematics, particularly linear algebra, supported by at least a bachelor's degree in math or a related field. Familiarity with virtual teaching platforms like Zoom, digital whiteboards, and learning management systems, as well as experience with math software such as MATLAB or Python (NumPy), is often required. Strong communication, patience, and the ability to engage students in a remote environment are essential soft skills for this role. These competencies ensure effective knowledge transfer, student engagement, and successful learning outcomes in a virtual setting.

What are some common challenges faced by remote linear algebra instructors when teaching online, and how can they be overcome?

Remote linear algebra instructors often encounter challenges such as maintaining student engagement, providing timely feedback, and effectively demonstrating complex concepts without in-person interaction. To overcome these, instructors can leverage interactive tools like virtual whiteboards, regular video sessions, and online discussion forums to foster participation and clarify doubts. Additionally, utilizing screen sharing for step-by-step problem-solving and offering virtual office hours helps ensure students stay on track and feel supported throughout the course.

What is the difference between Remote Linear Algebra vs Remote Data Scientist?

AspectRemote Linear AlgebraRemote Data Scientist
Required CredentialsBachelor's or Master's in Mathematics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch, algorithm development, mathematical modelingData analysis, machine learning, predictive modeling
Industry UsageAcademia, tech companies, research institutionsTech, finance, healthcare, e-commerce
Common Search/ComparisonYesYes

Remote Linear Algebra professionals focus on mathematical theories and algorithms, often working in research or academic settings. Remote Data Scientists apply statistical and machine learning techniques to analyze data and generate insights. While both roles require strong analytical skills and programming knowledge, their core functions differ: one emphasizes mathematical foundations, the other data analysis and modeling.

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Remote Linear Algebra jobs near you
Infographic showing various Remote Linear Algebra job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $59,999 per year, or $28.8 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Austin, TX • Remote

Liftlab Analytics, Inc.
See more jobs at Liftlab Analytics, Inc.external

Full-time

Re-posted 10 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