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Computational Social Science Jobs (NOW HIRING)

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research * Quantitative Finance * Statistics * Experience ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research * Quantitative Finance * Statistics * Experience ...

Level Up Llc

Data Scientist

Reston, VA · On-site

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research * Quantitative Finance * Statistics * Experience ...

University of Idaho Job

Postdoctoral Fellow

Moscow, ID

$42K - $57K/yr

PhD in environmental science, hydrology, civil or environmental engineering, geography, computational social science, or a related field with a focus on quantitative modeling and/or data science at ...

Prolific

Research Scientist

PhD in a relevant quantitative field such as psychology, research methodology, computational social science, statistics, economics, social science, or similar * Strong grounding in online research ...

University of Idaho

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

PhD in environmental science, hydrology, civil or environmental engineering, geography, computational social science, or a related field with a focus on quantitative modeling and/or data science at ...

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Leidos

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

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 ...

NorthEastern

Senior Finance Administrator

Boston, MA · On-site

$53K - $75K/yr

Cultural studies, Governance, and Globalization; and Network Science, Computational Social Science, Digital Humanities, and Data Ethics. At the College of Social Sciences and Humanities (CSSH), we ...

Improbable LLC

Applied Scientist

Arlington, VA

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

NTENT

Research Scientist

Carlsbad, CA

Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social Sciences or other quantitative field. * 3+ years of professional experience or equivalent experience ...

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Leidos

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

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 ...

Leidos

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

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 ...

Leidos

Data Scientist

Bethesda, MD · On-site

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 ...

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All JobsComputational Social Science Jobs

Computational Social Science information

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$40

$54

$74

How much do computational social science jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for computational social science in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is computational social science?

Computational social science is an interdisciplinary field that uses computational methods, such as data analysis, simulations, and modeling, to study social phenomena and human behavior. It combines tools from computer science, statistics, and social sciences to analyze large-scale social data, like social media activity, online interactions, or census records. This approach helps researchers uncover patterns and trends that would be difficult or impossible to detect using traditional social science methods alone.

What are the key skills and qualifications needed to thrive as a Computational Social Scientist, and why are they important?

To thrive as a Computational Social Scientist, you need a solid background in social science research methods, statistics, and programming—often supported by an advanced degree in a relevant field. Familiarity with data analysis tools such as Python, R, machine learning libraries, and experience with large datasets or social network analysis software is typical. Strong analytical thinking, interdisciplinary collaboration, and effective communication skills help you interpret results and convey insights to diverse audiences. These competencies are crucial for generating impactful, data-driven insights into complex social phenomena and informing decision-making.

What is the difference between Computational Social Science vs Data Scientist?

AspectComputational Social ScienceData Scientist
Required CredentialsSocial science background, programming skillsStatistics, programming, domain knowledge
Work EnvironmentResearch institutions, academia, social research firmsTech companies, finance, healthcare
Employer & Industry UsageUniversities, government agencies, social research organizationsCorporations, startups, consulting firms
Common Search & ComparisonYesYes

Computational Social Science focuses on analyzing social phenomena using computational methods rooted in social science theories, often within academic or research settings. Data Scientists, however, apply statistical and machine learning techniques to large datasets across various industries. While both roles require programming skills, Computational Social Science emphasizes social theory and research, whereas Data Science centers on data analysis and business insights.

What types of data sources and analytical methods are commonly used in Computational Social Science roles?

In Computational Social Science positions, professionals typically work with large and diverse datasets, including social media feeds, digital communication records, surveys, and online behavioral data. Analytical methods often involve a mix of quantitative techniques such as network analysis, machine learning, natural language processing, and agent-based modeling. Collaborative projects may require integrating insights from computer science, sociology, and statistics, making interdisciplinary teamwork a frequent part of the role. Adapting to evolving data privacy guidelines and ensuring ethical data use are also important daily considerations.
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What cities are hiring for Computational Social Science jobs? Cities with the most Computational Social Science job openings:
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What job categories do people searching Computational Social Science jobs look for? The top searched job categories for Computational Social Science jobs are:
Computational Social Science jobs near you
Infographic showing various Computational Social Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Temporary. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Data Scientist

Data Scientist

TMS

New York, NY • On-site

$60 - $62/hr

Contractor

Posted 14 days ago

Job description

Role: Data Scientist
Duration: 6+ months contract
Location: NYC- Hybrid

 

About the Team

Joining as a Data Scientist to support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk management and other domains.

As a Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment.

How You’ll Make an Impact: 

  • Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset Managers
  • Develop and maintain robust ML and data pipelines for experimentation and deployment.
  • Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.
  • Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.
  • Explain ML/NLP model outputs and methodologies to non-technical stakeholders.

You May be a Good Fit if:

  • Substantial experience querying, cleaning, compiling, and analyzing big data.
  • Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models.
  • Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.
  • Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).
  • Proven experience developing, refining, and monitoring NLP models.
  • Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required.
  • Understanding model evaluation methods and metrics.
  • Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs.
  • Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases).
  • Demonstrated experience with interpretable AI techniques.

What Would Make You Stand Out: 

  • Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).
  • Advanced degree or certification in NLP, ML, or related fields.
  • Familiarity with DevOps practices and tools.
  • Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases).
  • Demonstrable impact of technical solutions or projects on decision-making
  • Experience working in fast-paced, agile environments.
  • Customer-facing experience, notably in understanding end user needs and building collaborative relationships.
 
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