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Executive Remote Applied Mathematics Jobs (NOW HIRING)

GRVTY

Senior Scientist

Herndon, VA · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related ...

GRVTY

Technical Scientist - SME

Springfield, VA · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related ...

GRVTY

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related ...

GRVTY

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related ...

GRVTY

Senior Scientist

Herndon, VA · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related ...

Ent Security

Applied AI Scientist

San Francisco, CA · On-site +1

... mathematics. A problem solver, who will lead state-of-the-art research and development by ... A $500 home office stipend when you join as a remote employee. Diversity & Accommodations We're ...

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 ...

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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 Sep 9, 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 September 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Scientific Software Engineer / Computational Physicist

Springfield, VA • On-site, Remote

aqua IT
See more jobs at aqua ITexternal

Full-time

Posted 7 days ago

Job description

Position Overview

We are seeking a Scientific Software Engineer / Computational Physicist to support a research and development program focused on remote sensing, physics-based modeling, and scientific algorithm development.

This role requires a strong background in scientific programming and applied physics. An initial focus will be evaluating an existing scientific codebase originally developed in MATLAB and later converted to Python. The engineer will assess both the software implementation and underlying physics to determine whether models and calculations accurately represent the intended physical phenomena.

The ideal candidate can independently review scientific code, understand the governing physics and mathematical models, identify questionable assumptions or implementations, and develop or improve computational approaches to support ongoing R&D efforts.

Key Responsibilities

  • Review, debug, validate, and improve scientific Python code, including functionality converted from legacy MATLAB.
  • Evaluate whether computational models accurately represent the intended physics, mathematical assumptions, and governing equations.
  • Identify errors or inconsistencies in scientific models, numerical implementations, and MATLAB-to-Python conversions.
  • Work with physics-based models involving areas such as heat transfer, fluid dynamics, radiative processes, and material properties.
  • Develop and evaluate algorithms supporting remote sensing, infrared sensing, spectral analysis, and related R&D efforts.
  • Apply numerical modeling and optimization techniques to scientific and engineering problems.
  • Translate physical principles, mathematical models, and scientific research into computational implementations.
  • Develop validation approaches and evaluate model and algorithm performance, sensitivity, uncertainty, and limitations.
  • Document and communicate technical findings, methodologies, assumptions, and recommendations.

Required Qualifications

  • B.S. in a STEM discipline with 10+ years of relevant experience, or M.S. in STEM with 6+ years of relevant experience.
  • Strong scientific programming experience in Python.
  • Experience with remote sensing.
  • Experience with numerical modeling, scientific computing, simulation, or scientific algorithm development.
  • Strong background in physics, engineering, applied mathematics, or a related scientific discipline.
  • Demonstrated ability to evaluate scientific software and the underlying physical or mathematical models.
  • Knowledge of optimization techniques, such as particle swarm optimization.
  • Active TS/SCI with willingness to obtain a CI Poly.

Preferred Qualifications

  • Experience with MATLAB, particularly scientific or physics-based applications.
  • Experience with infrared remote sensing and/or spectral analysis.
  • Knowledge of flight dynamics.
  • Experience with GitLab and Git CLI.
  • Experience reviewing, comparing, converting, or validating MATLAB and Python scientific implementations.