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Remote Quantitative Social Science Jobs (NOW HIRING)

S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or ...

Lead Designer & Strategist

Chicago, IL ยท On-site +1

$84K - $97K/yr

Hybrid at our offices in Chicago, at our client's offices, and remote Background Highland is a ... for Quantitative Social Science. Our values-People First, Give a Damn, Be Curious, and Be ...

Bachelor's degree in related field (public health, quantitative social science, or management) with eight (8) years progressively more responsible experience managing projects, including at least two ...

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also ... Bachelor's Degree in Finance, Mathematics, Computer Science or related academic degree * 2+ years ...

... Social Science Curriculum vitae should reflect evidence of qualitative and/or quantitative methods ... Required License or Certification Is this position eligible for a remote or hybrid work arrangement ...

$15/hr

College of Letters & Science Department: Center For Limnology Job Type: UW Student Jobs Remote ... Familiar with social science research Knowledge, Skills & Abilities : Familiarity with social ...

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Remote Quantitative Social Science information

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$47.5K

$74.9K

$139K

How much do remote quantitative social science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote quantitative social science in the United States is $74,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $94,000.00 per year, depending on experience, location, and employer.

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 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.
More about Remote Quantitative Social Science jobs

What cities are hiring for Remote Quantitative Social Science jobs?

Cities with the most Remote Quantitative Social Science job openings:

What are the most commonly searched types of Quantitative Social Science jobs?

The most popular types of Quantitative Social Science jobs are:

What states have the most Remote Quantitative Social Science jobs?

States with the most job openings for Remote Quantitative Social Science jobs include:

Infographic showing various Remote Quantitative Social Science job openings in the United States 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, with an average salary of $74,903 per year, or $36 per hour.

Data Scientist - TS/SCI

VMD Corp

Bethesda, MD โ€ข On-site, Remote

Full-time

Re-posted 21 days ago


Job description

Description

Data Scientist – TS/SCI

Xcelerate Solutions is currently seeking a Data Scientist. The Data Scientist will support ongoing and future programs to advance the state of the art in research and advanced machine learning, natural language processing, and data fusion applications in the areas of mission-focused big data analytics. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.

Location: 

Bethesda, MD  

Security Clearance: 

TS/SCI

 

Responsibilities:

  • Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. 
  • Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.  
  • Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
  • Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
  • Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement 

Minimum Requirement:

  • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
  • Active TS and ability to obtain a TS/SCI with Polygraph.
  • Experience in data science, analytics or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes
  • Proficiency in one or more scripting languages such as Python
  • Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
  • Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)
  • Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
  • Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won’t fit in memory.
  • Track record of active learning and creative problem solving
  • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
  • Familiarity using git or other version control technologies
  • Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision

Preferred Qualification:

  • A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
  • Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
  • Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
  • Experience developing predictive algorithms, image classifiers, object detectors, and others.
  • Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
  • Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)
  • Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.

About Xcelerate Solutions: 

Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is  one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! 
  

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. 

  Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.