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Remote Quantitative Social Science Jobs (NOW HIRING)

Senior Evaluation Methodologist / Statistician

Vienna, VA ยท On-site +1

$87K - $107K/yr

Remote, with potential travel to Ethiopia, Ukraine, Haiti, the Philippines, and/or Trkiye Technical ... Advanced degree in statistics, econometrics, evaluation, economics, quantitative social science ...

We are a Remote First organization with a strong commitment to excellence, innovation, and customer ... As a Virtual Social Science Teacher , you bring your classroom to life through a screen: connecting ...

Bachelor's degree in Statistics, Data Science, Computational Social Science, Quantitative Psychology, or a related field. * Strong proficiency in statistical analysis methods, including clustering ...

Please note that remote-based candidates must be physically located within the United States ... quantitative social sciences). Preferred Qualifications * Interest in public health a plus

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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 Sep 5, 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 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.

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Cities with the most Remote Quantitative Social Science job openings:

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

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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 1% Internship, 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,903 per year, or $36 per hour.

Senior Evaluation Methodologist / Statistician

IBTCI

Vienna, VA โ€ข On-site, Remote

$87K - $107K/yr

Full-time

Posted 8 days ago


Key responsibilities

  • Lead the quantitative methodology for the livelihoods framework and project evaluations, ensuring alignment between evaluation questions, indicators, designs, instruments, samples, and analyses.

  • Design and review sampling strategies, surveys, comparison-group approaches, and statistical analysis plans to support credible findings and cross-project comparability.

  • Conduct or oversee data analysis using SPSS and/or Stata, including data cleaning, descriptive and inferential analysis, and interpretation of statistical outputs.


Job description

Integrated Business & Technical Consultants, Inc. (IBTCI), a U.S.-based international development consulting company established in 1987, has worked in over 100 countries and implemented over 300 projects. IBTCI serves government agencies, private-sector companies, and donor organizations. IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across sectors including conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.

Assignment Title: Senior Evaluation Methodologist / Statistician

Department/Location: Remote, with potential travel to Ethiopia, Ukraine, Haiti, the Philippines, and/or Trkiye

Technical Point of Contact: Team Leader

Type: Consultant, Short-term / Intermittent

Classification: Consultancy

Overview: IBTCI is seeking a Senior Evaluation Methodologist / Statistician to lead quantitative and causal-design components of a proposed Livelihoods Framework and Evaluations assignment. The expert will design proportionate tiers of rigor, sampling strategies, surveys, comparison-group approaches, statistical analysis, and empirical reliability tests that support credible project-level findings and cross-project comparability. Highly rigorous randomized controlled trials are not sought; the role will emphasize feasible, ethical performance and quasi-experimental approaches appropriate to project size, timing, data availability, and operational realities.

Essential Duties/Tasks and Responsibilities:

  • Lead the quantitative methodology for the standardized livelihoods framework and project evaluations, ensuring alignment between evaluation questions, indicators, designs, instruments, samples, and analyses.
  • Develop project-specific tiers of rigor and recommend feasible designs based on project budget, status, baseline availability, implementation model, security, and access.
  • Design ethical comparison-group and quasi-experimental strategies for larger projects when feasible, including matched comparisons, difference-in-differences, interrupted time series, phased rollout, and other defensible approaches.
  • Develop sampling frames, stratification and clustering approaches, sample-size and precision calculations, weighting procedures, nonresponse strategies, replacement rules, and documentation suitable for project-level inference and cross-project comparison.
  • Design and review short- and long-term outcome surveys, monitoring checklists, vetting instruments, common indicator specifications, response scales, and quantitative components of scorecards.
  • Design and oversee empirical inter-rater reliability testing, including selection of appropriate statistics such as kappa coefficients, intraclass correlation coefficients, or agreement measures; recommend benchmarks and revision rules.
  • Prepare statistical analysis plans and reproducible syntax; conduct or oversee data cleaning, descriptive and inferential analysis, regression, subgroup and sensitivity analyses, missing-data treatment, and visualization.
  • Use SPSS and/or Stata as primary analysis platforms and review statistical outputs for accuracy, assumptions, robustness, and appropriate interpretation.
  • Work with data-management staff to establish validation rules, derived variables, data dictionaries, quality-control checks, and secure transfer procedures.
  • Contribute methods, limitations, findings, and technical annexes to evaluation plans, reports, scorecards, slide decks, and presentations; explain complex methods clearly to nontechnical stakeholders.

Minimum Qualifications:

  • At least 10 years of professional experience in evaluation methodology, statistics, econometrics, survey research, experimental or quasi-experimental design, or applied quantitative research.
  • Demonstrated expertise in sampling, survey design, power or precision calculations, and analysis of complex survey or program data.
  • Demonstrated experience with quasi-experimental methods such as difference-in-differences, interrupted time series, matching, or comparable causal-inference approaches.
  • Advanced proficiency in SPSS and/or Stata, including reproducible syntax and quality review of statistical analysis.
  • Experience designing multi-country or multi-site instruments and harmonized indicators for cross-project or cross-country comparison.
  • Experience developing and testing instrument reliability and validity, including inter-rater reliability.
  • Ability to communicate technical decisions, assumptions, limitations, and findings to technical and nontechnical audiences.
  • Excellent written and oral communication skills in English.

Education: Advanced degree in statistics, econometrics, evaluation, economics, quantitative social science, survey methodology, or a closely related field.

Preferred Knowledge, Skills, and Abilities:

  • Experience evaluating livelihoods, agriculture, food security, resilience, enterprise development, or market-systems programs.
  • Experience designing ethically defensible comparison groups in humanitarian, fragile, or conflict-affected settings.
  • Experience in one or more target countries or regions.

Work environment: This position is primarily remote and requires concentrated computer-based analysis and collaboration across time zones.

Physical Requirements: This position requires the ability to speak, hear, see, use a computer or mobile device, and lift small objects up to 20 lbs. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Supervisory Responsibility: This position does not have supervisory responsibility.

Travel: Limited international travel may be required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this assignment. Duties, responsibilities, and activities may change at any time with or without notice.