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Remote Matlab Jobs in Olney, MD (NOW HIRING)

MATLAB * Google Earth Engine * Support automation of EO scientific processing and analysis workflow ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Senior Scientist

Herndon, VA · On-site +1

$94K - $128K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.

Senior Scientist

Herndon, VA · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.

... Excel, MATLAB, Python or similar software On-site support is preferred but remote work may be possible if approved by the customer US Citizenship Areas of Desired Experience & Skills Integrated ...

Our customers currently include teachers in the most remote parts of the Amazon, researchers in ... Experience with Matlab, Python, R, or other programming language for modeling (e.g. Monte Carlo ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Modeling and ... MATLAB, VBA, or STK (desired). • Drive, initiative, and the ability to excel in a fast paced ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Fluency in a generic analytics coding language (Python, SQL, R, or Matlab) and strong data needs ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

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Remote Matlab information

See Olney, MD salary details

$62.4K

$111.3K

$179.6K

How much do remote matlab jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote matlab in Olney, MD is $111,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Matlab position, and why are they important?

To thrive as a Remote Matlab professional, you typically need a strong background in mathematics, engineering, or computer science, with advanced proficiency in Matlab programming and problem-solving. Familiarity with technical tools such as Simulink, version control systems (like Git), and experience in data analysis or modeling are often required. Strong communication skills, self-motivation, and effective time management are essential soft skills for successful remote collaboration. These competencies are vital for delivering high-quality technical solutions independently while maintaining alignment with distributed team objectives.

How can I make $100,000 a year working from home?

A remote MATLAB professional can reach a $100,000 annual income by gaining advanced skills in data analysis, algorithm development, or automation, and working for companies that offer high-paying remote roles. Building a strong portfolio, obtaining relevant certifications, and gaining experience in specialized fields like engineering or finance can also increase earning potential. Consistent remote work, freelancing, or consulting can further boost income levels.

What are some common challenges faced by remote Matlab professionals, and how can they overcome them?

Remote Matlab professionals often face challenges such as coordinating complex projects across different time zones and staying connected with team members for regular updates and feedback. To overcome these hurdles, it's important to establish clear communication routines using collaboration tools like Slack or Teams and to document code and progress thoroughly for transparency. Additionally, troubleshooting technical issues without on-site support can be handled by developing strong online research skills and participating in Matlab-focused forums or user groups. Proactively managing your schedule and remaining adaptable help ensure steady productivity and minimize misunderstandings in a remote work environment.

Will MATLAB be replaced by AI?

MATLAB, used by remote MATLAB professionals, is a specialized programming environment for numerical computing and algorithm development. While AI tools can assist with coding and data analysis, MATLAB's specific functions and industry applications make complete replacement unlikely in the near term. Professionals with skills in MATLAB and AI integration will continue to be in demand for complex technical tasks.

How to make $1000 a week remotely?

Remote Matlab jobs that pay $1000 a week typically require advanced skills in programming, data analysis, or engineering, and often involve freelance or contract work. Building a strong portfolio, gaining certifications, and applying to multiple projects or clients can help achieve this income level, especially with consistent effort and specialized expertise.

What is a Remote Matlab job?

A Remote Matlab job involves using Matlab software to perform programming, data analysis, simulations, and algorithm development while working from a remote location. These roles are common in industries like engineering, finance, and research, where Matlab is used for mathematical modeling and data processing. Remote Matlab professionals may collaborate with teams online, write scripts, debug code, and optimize algorithms without being physically present in an office.

What are popular job titles related to Remote Matlab jobs in Olney, MD? For Remote Matlab jobs in Olney, MD, the most frequently searched job titles are:
What cities near Olney, MD are hiring for Remote Matlab jobs? Cities near Olney, MD with the most Remote Matlab job openings:

LEAD SAR DATA/IMAGERY SCIENTIST (TS/SCI Clearance required)

NorthHill Technology

Falls Church, VA • On-site, Remote

Full-time

Posted 11 days ago


Job description

NorthHill Technology Resources has a need for a Lead SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA.  This is a direct-hire opportunity with our client, a highly respected Federal Integrator.  A current TS/SCI Clearance is required. 

We are seeking an experienced Lead SAR Data Scientist / Imagery Scientist to join a high-performing team developing advanced solutions for complex national security and intelligence challenges.

This program focuses on evaluating artificial intelligence and machine learning models against existing government datasets to assess robustness across a wide range of adversarial scenarios. The team will also support the development and evaluation of automated algorithms capable of making operational decisions in dynamic environments.

As the Lead SAR Exploitation / Imagery Scientist, you will serve as the subject matter expert (SME) for Synthetic Aperture Radar (SAR) imagery. You will provide technical leadership in the acquisition, preparation, processing, and exploitation of SAR data, ensuring imagery meets Government quality standards and mission requirements. You will also develop solutions that account for the unique phenomenology, capabilities, and limitations of SAR sensors and collection platforms.


Required Qualifications
  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 6+ years of experience as a SAR exploitation or imagery expert with a strong understanding of:
    • SAR collection principles
    • Radar phenomenology
    • Image formation processes
    • SAR exploitation products
  • Experience using SARPy and the MATLAB SAR Toolbox
  • Knowledge of SAR image quality assessment, including:
    • RNIIRS
    • Information-theoretic image quality metrics
    • Integrated Sidelobe Ratio (ISLR)
    • Multiplicative Noise Ratio (MNR)
  • Experience interpreting sensor metadata and understanding how collection geometry (e.g., graze angle, squint angle, azimuth) impacts SAR phenomenology
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest
  • Experience developing, testing, and evaluating SAR processing algorithms, methodologies, and analytical products
  • Proficiency with advanced data processing and scientific computing tools such as PythonMATLAB, and Google Earth Engine
  • Strong understanding of remote sensing principles, imagery processing, and advanced exploitation techniques
  • Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical stakeholders

Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery for intelligence, defense, or remote sensing applications
  • Experience supporting AI/ML model development, validation, or operational testing using SAR datasets

Key Responsibilities
  • Evaluate emerging SAR sensor capabilities and compare performance against currently fielded collection platforms.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required for integration into operational data pipelines.
  • Determine data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Design and implement preprocessing workflows to standardize imagery for labeling, analysis, and AI/ML model evaluation, including format conversion, image tiling, and geospatial normalization.
  • Identify capability gaps associated with emerging sensors and recommend complementary data sources when appropriate.
  • Assess opportunities for multi-source and coincident collections by identifying complementary imagery from additional platforms (e.g., EO/IR) with comparable geographic and temporal coverage.
  • Provide technical leadership on SAR phenomenology, exploitation methodologies, and sensor performance to support Government mission objectives.
  • Collaborate with data scientists, AI/ML engineers, and mission analysts to ensure SAR data is optimized for advanced analytics and model development.