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Remote Quantitative Social Science Jobs in Virginia

Bachelor's degree preferably in a quantitative science, engineering, or social sciences (e.g STEM ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Bachelor's degree preferably in a quantitative science, engineering, or social sciences (e.g STEM ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Scientific Data Analyst

Vienna, VA · Remote

$85K - $115K/yr

... remote for the foreseeable future. In this role, you will manage and analyze quantitative ... Knowledge of behavioral and social science research methods. * Experience preparing with research ...

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... expertise and quantitative analysis to make recommendations that improve data curation and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

... 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 ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ...

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Remote Quantitative Social Science information

What is the highest paying social science job?

In social science fields, roles such as data scientists, quantitative analysts, and research directors often have the highest salaries, especially when working in private sector or consulting firms. These positions typically require advanced statistical skills, programming knowledge, and experience with data analysis tools, and they can offer six-figure compensation depending on experience and location.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Social Science professional, and why are they important?

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 can you do with a quantitative social science degree?

A degree in quantitative social science prepares individuals for roles such as data analyst, research scientist, policy analyst, or social science researcher, where skills in statistical analysis, data modeling, and programming are essential. Graduates often work in government agencies, research institutions, or private companies, utilizing tools like SPSS, R, or Python to interpret social data and inform decision-making.

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.

How to make 70000 a year from home?

A remote quantitative social science professional can earn $70,000 annually by leveraging skills in data analysis, statistical modeling, and programming with tools like R or Python. Building a strong portfolio, gaining experience, and working for organizations that offer remote roles or consulting opportunities can help achieve this income level.

What is a remote quantitative social science job?

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.

How to make $1000 a week remote?

A remote quantitative social science professional can earn $1000 a week by leveraging specialized skills in data analysis, statistical modeling, and programming with tools like R or Python. Building a strong portfolio, gaining experience in freelance platforms, and securing contracts with organizations needing research or data consulting can help achieve this income level.
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:
Infographic showing various Remote Quantitative Social Science job openings in Virginia as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.
Research Associate or Research Scientist - Ag. Economics and Remote Sensing

Research Associate or Research Scientist - Ag. Economics and Remote Sensing

Virginia Polytechnic Institute and State University

Blacksburg, VA • On-site, Remote

Full-time

Posted 28 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

225th of 611 rated colleges and universities


Job description

Research Associate or Research Scientist - Ag. Economics and Remote Sensing
Job no: 536816
Work type: Teaching & Research Faculty
Senior management: Agriculture & Life Sciences
Department: Agricultural & Applied Economics
Location: Blacksburg, Virginia
Categories: Agriculture / Life Science, Research / Scientific
Job Description
The Department of Agricultural and Applied Economics at Virginia Tech, and in particular an interdisciplinary research team led by Dr. Elinor Benami, is seeking a highly motivated Research Associate or Scientist to join us in the Summer or Fall 2026. The position is annually renewable pending availability of continued funding. This is a single search for one research faculty position that may be filled at either rank, depending on the qualifications of the finalist candidate.
• Research Associate conducts research under supervision with more limited independent authority, contributes to manuscripts and reports under guidance, and is generally not eligible to serve as principal investigator.
• Research Scientist conducts independent research under general supervision, contributes significantly to project conceptualization and management, is expected to lead manuscripts and contribute to proposal and grant development, may supervise project personnel and research assistants, and is eligible to serve as principal investigator.
Our team works at the intersection of agricultural economics, remote sensing, and insurance and finance, with projects spanning how the use of Earth observation can inform agricultural index insurance design, premium ratings, and quantifying the private and public values of conservation agricultural practice adoption.
We are affiliated with NASA Harvest and collaborate with a wide range of academic, government, and practitioner partners, including USDA, the Gates Foundation, Microsoft AI for Good, and multiple public, private, and nongovernmental organizations. The successful candidate will be responsible for supporting the research efforts of our team using a variety of tools and methods. These will include preparing geospatial and administrative data for analysis, applying theory-guided statistical approaches to uncover relationships in the data, generating visualizations and maps, preparing manuscripts for submission to peer-reviewed journals, and presenting findings to academic as well as practitioner audiences. The candidate will also have opportunities to engage directly with policy and industry partners and to contribute to ongoing grant development.
We are especially interested in candidates with a background in agricultural or applied economics/finance and familiarity with remote sensing data and methods, though we welcome applicants from related quantitative disciplines, including economics, earth system or environmental sciences, computational social science, and geography, provided they bring strong causal inference skills and engagement with applied policy questions. Experience with land markets, agricultural finance, or soil and water conservation policy is a plus.
The position is best suited to someone who is comfortable working across disciplinary boundaries, interested in both the scholarly and applied dimensions of the work, and eager to contribute to a collaborative and fast-moving research environment.
Location: Blacksburg, Virginia, with travel to partner institutions domestically or internationally occasionally expected. Some remote work is permissible by mutual agreement.
About NASA Harvest | NASA Harvest is NASA's Global Food Security and Agriculture Program.
Our mission is to enable and advance adoption of satellite Earth observations by public and private organizations to benefit food security, sustainability, agriculture, and human and environmental resiliency worldwide. We accomplish this through a multidisciplinary and multisectoral Consortium of leading scientists and agricultural stakeholders, led by researchers at the University of Maryland and implemented through co-development with our partners across the globe.
About Virginia Tech | Virginia Tech is and has been pursuing a series of cluster hires to complement the strengths of existing faculty in pursuing interdisciplinary research the nexus of digital, biological, social, and physical sciences and engineering with application to agriculture, food, and natural resources. This vision aims to create a state and nation-wide network of interconnected faculty, partners, and resources for scientific discovery and developing and deploying new technologies. The goal is to increase overall efficiency, resiliency, sustainability, and economic value of food, agriculture production systems, and natural resources while expanding Virginia Tech's global influence in this rapidly evolving domain.
Required Qualifications
Requirements for Research Associate Position
• Master's degree in agricultural economics, applied economics, or a related quantitative field, or a bachelor's degree and significant relevant experience in the same fields
• Strong written and oral communication skills
• Demonstrated experience with data analysis in R, Python, or similar language using version control ( e.g., Git)
• Experience in evaluating the economic and policy implications of agricultural monitoring techniques, ideally using remotely sensed, Earth observation data
Requirements for Research Scientist Position
• PhD in agricultural economics, applied economics, or a related quantitative field with relevant research experience
• Strong written and oral communication skills
• Demonstrated experience with data analysis in R, Python, or similar language using version control ( e.g., Git)
• Experience in evaluating the economic and policy implications of agricultural monitoring techniques, ideally using remotely sensed, Earth observation data
Preferred Qualifications
Preferred Qualifications for Research Associate Position
• Experience with econometric methods applied to administrative or observational data
• Familiarity with geospatial analysis and remote sensing data, including cloud platforms such as Google Earth Engine
• Prior work in one or more of the team's areas: agricultural/index insurance or risk transfer, conservation agriculture, land markets, or rural finance
Preferred Qualifications for Research Scientist Position
• Experience submitting manuscripts to peer reviewed journals and established publications record
• Experience with managing sponsored research projects and/or personnel
• Experience with econometric methods applied to administrative or observational data
• Familiarity with geospatial analysis and remote sensing data, including cloud platforms such as Google Earth Engine
• Prior work in one or more of the team's areas: agricultural/index insurance or risk transfer, conservation agriculture, land markets, or rural finance
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
57,783 - 89,412 (dependent upon rank)
Hours per week
40; M-F 8:00 a.m. - 5:00 p.m.
Review Date
07/30/2026
Additional Information
To apply: Please submit (1) a cover letter describing your interests and relevant background, (2) your CV, and (3) a writing sample or link to a coding portfolio (e.g., GitHub profile). Applications will be reviewed on a rolling basis with a priority deadline of July 17, 2026. Contact for questions: Elinor Benami, elinor@vt.edu .
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Dr. Elinor Benami at elinor@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: June 29, 2026
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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