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Remote Computational Modeling Scientist Jobs in Washington

Improbable LLC

Frontend Software Engineer

Arlington, VA · On-site +1

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... Working closely with product managers, designers and scientific modelers, you will to help ...

Improbable LLC

Frontend Software Engineer

Arlington, VA · On-site +1

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you ... Working closely with product managers, designers and scientific modelers, you will to help ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation ... Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

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Remote Computational Modeling Scientist information

What is the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

How does a remote computational modeling scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is a remote computational modeling scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

What are the key skills and qualifications needed to thrive as a remote computational modeling scientist?

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.
What are the most commonly searched types of Computational Modeling Scientist jobs in Washington? The most popular types of Computational Modeling Scientist jobs in Washington are:
What are popular job titles related to Remote Computational Modeling Scientist jobs in Washington? For Remote Computational Modeling Scientist jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Computational Modeling Scientist jobs in Washington look for? The top searched job categories for Remote Computational Modeling Scientist jobs in Washington are:
What cities in Washington are hiring for Remote Computational Modeling Scientist jobs? Cities in Washington with the most Remote Computational Modeling Scientist job openings:
Remote Computational Modeling Scientist jobs near you
Infographic showing various Remote Computational Modeling Scientist job openings in Washington as of June 2026, with employment types broken down into 1% Internship, 66% Full Time, 9% Part Time, 4% Temporary, 19% Contract, and 1% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

SAR Data Scientist/Imagery Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 17 days ago

Job description

Overview

We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications.

Required Qualifications

  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
  • Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
  • Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
  • Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
  • Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
  • Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.