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Remote Quantitative Social Science Jobs in Virginia

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

... Science, Computer Science, Mathematics, Statistics, or a closely related quantitative field ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Varsity Tutors

College Math Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Leesburg, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Alexandria, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Salem, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Richmond, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Norfolk, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Fairfax, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Varsity Tutors

College Math Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

... Science, Computer Science, Mathematics, Statistics, or a closely related quantitative field ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Alexandria, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243954 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience doing quantitative analysis, developing visualizations, and processing complex data to ...

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All JobsQuantitative Social Science JobsRemote Quantitative Social Science JobsRemote Quantitative Social Science Jobs in Virginia

Remote Quantitative Social Science information

What is a remote quantitative social science?

A remote quantitative social science job involves conducting research and analysis in fields like sociology, psychology, economics, or political science using statistical and mathematical methods, all while working from a remote location. Professionals in these roles collect and analyze numerical data to understand social phenomena, trends, and behaviors. They often use software tools for data analysis and collaborate with teams virtually. These positions are ideal for those with strong analytical skills and a background in social sciences and statistics.

What are the key skills and qualifications needed to thrive as a remote quantitative social science professional?

To thrive as a Remote Quantitative Social Science professional, you need a strong background in statistics, data analysis, research methods, and typically an advanced degree in a social science discipline. Proficiency with statistical software such as R, Stata, or SPSS, and experience with survey platforms and data visualization tools, are highly valued. Excellent written communication, critical thinking, and self-motivation are crucial soft skills for collaborating remotely and translating data insights effectively. These skills ensure rigorous research, accurate data-driven conclusions, and effective collaboration in a distributed work environment.

How do remote quantitative social scientists typically collaborate with team members across different locations?

Remote quantitative social scientists often work closely with interdisciplinary teams, including data analysts, subject matter experts, and project managers, using digital collaboration tools like Slack, Zoom, and cloud-based platforms. Effective communication is crucial, as much of the work involves sharing data insights, co-authoring research papers, and coordinating on statistical analyses. Regular virtual meetings, clear documentation, and shared repositories help ensure alignment and smooth project progress, despite geographic dispersion. Building strong working relationships remotely can be challenging at first, but consistent communication and proactive engagement usually lead to successful team outcomes.

What is the difference between Remote Quantitative Social Science vs Remote Data Analyst?

AspectRemote Quantitative Social ScienceRemote Data Analyst
Required CredentialsAdvanced degrees in social sciences, statistics, or related fieldsBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentResearch-focused, often in academia, think tanks, or social research firmsBusiness, marketing, or tech companies analyzing data for decision-making
Industry UsageSocial sciences, policy research, academiaBusiness, finance, healthcare, marketing

Remote Quantitative Social Science involves analyzing social data to understand societal trends, often requiring advanced degrees and research expertise. Remote Data Analysts focus on interpreting data to support business decisions, typically with a bachelor's or master's degree. While both roles involve data analysis, the social science role emphasizes societal insights, whereas data analysts serve business needs.

What are popular job titles related to Remote Quantitative Social Science jobs in Virginia?

For Remote Quantitative Social Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Social Science jobs in Virginia look for?

The top searched job categories for Remote Quantitative Social Science jobs in Virginia are:

What cities in Virginia are hiring for Remote Quantitative Social Science jobs?

Cities in Virginia with the most Remote Quantitative Social Science job openings:

Remote Quantitative Social Science jobs near you
Infographic showing various Remote Quantitative Social Science job openings in Virginia as of August 2026, with employment types broken down into 68% Full Time, 13% Part Time, 6% Temporary, and 13% Contract. Highlights an 100% Remote job distribution.

SAR Data Scientist/Imagery Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 27 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.