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Executive Remote Applied Mathematics Jobs (NOW HIRING)

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field. * 2-5 years of relevant ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS GovCloud Databricks * Bachelor's degree in computer science, Engineering, Applied Mathematics or related ...

Maxar

Applied AI Scientist

$128K - $170K/yr

MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a ... Experience working with geospatial data, remote sensing, satellite imagery, or Earth observation ...

New

Virginia Tile Company

Strong analytical and math skills * Proven history of achieving sales growth and meeting targets. * Highly motivated and capable of working independently and collaboratively. * Demonstrated integrity ...

Mercor

Engineering PhD - Benchmark Specialist

New York, NY · On-site +1

$61 - $77/hr

Applied Engineering Benchmark Specialist Type: Contract Compensation: $61-$77/hour Location: Remote ... Strong command of graduate-level engineering principles, applied mathematics, and domain-specific ...

New

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Executive Remote Applied Mathematics information

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$26.5K

$93.6K

$184K

How much do executive remote applied mathematics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for executive remote applied mathematics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Remote Applied Mathematics vs Data Scientist?

AspectExecutive Remote Applied MathematicsData Scientist
Required CredentialsAdvanced degrees in applied mathematics, quantitative analysisDegree in data science, statistics, or related fields
Work EnvironmentRemote, often in finance, tech, or consulting firmsRemote or on-site, in tech, finance, healthcare industries
Industry UsageUsed in quantitative analysis, modeling, and algorithm developmentFocuses on data analysis, machine learning, and predictive modeling

Executive Remote Applied Mathematics and Data Scientist roles share a focus on quantitative skills and data analysis. However, applied mathematics roles often emphasize mathematical modeling and algorithm development at an executive level, while data scientists focus more on data analysis, machine learning, and deriving insights from data. Both roles are prevalent in tech and finance industries and frequently offer remote work options.

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Executive Remote Applied Mathematics jobs near you
Infographic showing various Executive Remote Applied Mathematics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted yesterday

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