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Senior Computational Social Scientist Jobs (NOW HIRING)

Role: Lead Computational Social Scientist   About interos.ai:  interos.ai is the standard for supply chain risk intelligence. Our Resilience platform, powered by an 11B buyer-supplier knowledge ...

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Social Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS ... Opportunities available at the SME and Senior levels. Responsibilities: * Conducts campaign and ...

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Senior Computational Chemist

La Jolla, CA · On-site

$106K - $176K/yr

Position Summary The Machine Learning & Computational Sciences (MLCS) organization within Medicine ... We are seeking a Senior Computational Chemist with a strong cheminformatics background and a proven ...

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

Position Summary The Machine Learning & Computational Sciences (MLCS) organization within Medicine ... We are seeking a Senior Computational Chemist with a strong cheminformatics background and a proven ...

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Senior Computational Social Scientist information

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$25K

$80.3K

$163.5K

How much do senior computational social scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior computational social scientist in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior computational social scientist, and why are they important?

To thrive as a Senior Computational Social Scientist, you need advanced expertise in social science theory, quantitative and qualitative research methods, and a strong background in statistics or data science, usually supported by a relevant Ph.D. or equivalent experience. Proficiency in programming languages like Python or R, experience with machine learning frameworks, and familiarity with data visualization and analysis tools are typically required. Outstanding analytical thinking, interdisciplinary collaboration, and clear communication skills make candidates stand out in this position. These skills are vital for effectively designing research, extracting insights from complex data, and translating findings into actionable recommendations for diverse stakeholders.

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

AspectSenior Computational Social ScientistData Scientist
Required CredentialsAdvanced degrees in social sciences, data analysis, or related fieldsDegrees in computer science, statistics, or related fields
Work EnvironmentResearch-focused, often in academia, government, or social research firmsIndustry settings, tech companies, finance, healthcare
Employer & Industry UsageUsed in social research, policy analysis, and behavioral studiesApplied in product development, business analytics, and machine learning

While both roles involve data analysis and modeling, Senior Computational Social Scientists focus on social phenomena and behavioral data, often requiring expertise in social sciences. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. The choice depends on your focus—social research or industry-driven data applications.

What are typical collaborative projects a senior computational social scientist might work on within an interdisciplinary team?

As a Senior Computational Social Scientist, you’ll frequently collaborate with professionals from diverse backgrounds such as data scientists, software engineers, policy analysts, and subject matter experts. Typical projects may include analyzing large-scale social media data to uncover patterns in public opinion, developing computational models to simulate social phenomena, or partnering with organizations to assess the societal impact of new technologies. These collaborations often require effective communication to translate complex social theories into actionable data-driven insights, and you'll play a pivotal role in bridging methodological gaps and ensuring research rigor.

What is a senior computational social scientist?

Senior Computational Social Scientists are experts who use advanced computational methods, such as data mining, machine learning, and simulations, to study and analyze social phenomena. They typically hold advanced degrees in social sciences, computer science, or related fields and have significant experience in both quantitative research and programming. Their work often involves interpreting large datasets to understand patterns in human behavior, inform policy, or guide organizational decision-making. Senior professionals in this field may also lead research teams, design complex studies, and collaborate across disciplines to solve real-world social problems.

What cities are hiring for Senior Computational Social Scientist jobs?

Cities with the most Senior Computational Social Scientist job openings:

What are the most commonly searched types of Computational Social Scientist jobs?

The most popular types of Computational Social Scientist jobs are:

What states have the most Senior Computational Social Scientist jobs?

States with the most job openings for Senior Computational Social Scientist jobs include:

Senior Computational Social Scientist

Protagonist

Washington, DC • On-site

$82K - $129K/yr

Full-time

Re-posted 12 days ago


Job description

Washington, DC | Full-Time | Hybrid

Job Description

In this role, you'll apply data science and analytic methods directly to projects, turning large, often unstructured datasets into findings that teams and clients can act on. Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This is a multi-hatted role. You'll help lead our internal data efforts, stay hands-on with analysis and client delivery, and partner with the product team to shape Narrative Analytics, the platform our analysts use every day. Whether you come from a social science research background, a product-and-analytics path, or a more technical track, what matters most is that you can take messy, real-world data and make it useful to our internal team and end customers.

Responsibilities
  • Lead our data efforts
    • Guide internal data science work: shape the approach, hold quality high, and keep analysis reproducible and defensible.
    • Design and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Translate qualitative research questions into structured analytical workflows.
  • Build AI-powered analytical workflows
    • Design prompts, LLM chains, and agentic workflows that automate classification, thematic coding, entity extraction, and summarization at scale.
    • Build and evaluate repeatable analytical products with real quality controls and human-in-the-loop checks.
    • Experiment with emerging techniques (RAG, multi-step reasoning, tool-using agents) to extend what we can deliver.
  • Make data usable and clear
    • Handle complex cleaning, transformation, and wrangling so the data stays trustworthy.
    • Build dashboards and visualizations (Tableau, Superset, or similar) that make insight clear to clients and colleagues alike.
    • Turn findings into actionable recommendations and present them directly to clients with clarity and confidence.
  • Shape the product and work across streams
    • Work hand in hand with the product team to shape Narrative Analytics around what users actually need, bringing the analyst's and client's perspective into product design.
    • Collaborate across analytics, product, and client teams so the work fits together and reaches the people who depend on it.
    • Mentor junior analysts and interns and contribute technical sections to proposals and white papers.
Requirements
  • Must be eligible to work on US Government contracts.
  • A degree in a quantitative or analytical field (data science, computer science, statistics, computational social science, political science, economics, communications, or a related discipline), or equivalent hands-on experience.
  • 5+ years of relevant experience with a bachelor's (or 3+ with an advanced degree), including at least 2 years focused on data science with a track record of real impact.
  • Hands-on experience working with text-as-data: media, social media, or open-source text corpora.
  • Working proficiency in Python and/or R, plus solid SQL for pulling, transforming, and validating data.
  • Familiarity with core NLP and ML methods (text classification, topic modeling, sentiment and stance detection, embeddings, transformers) and with applying LLMs in real workflows (prompt engineering, structured outputs, integration).
  • The ability to explain technical work to non-technical audiences and to thrive in a fast-paced, collaborative team.
Ideal Candidates
  • Existing security clearance (SECRET or higher) a plus
  • Experience designing structured content analysis or analytical frameworks for text data.
  • Experience in information environment assessment, strategic communication analysis, or media landscape monitoring.
  • Experience shaping analytical tools or platforms around real user needs.
  • Experience with computational social science methods (network analysis, narrative framing, document similarity) that go beyond keyword search.
  • Experience translating social science research questions into scalable computational approaches.
Additional Information

If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.

Protagonist is an Equal Opportunity Employer. 

Salary Range: $82,216-$129,885 based on education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.