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Computer Science Non Profit Jobs (NOW HIRING)

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Computer Science Non Profit information

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How much do computer science non profit jobs pay per year?

As of Sep 13, 2026, the average yearly pay for computer science non profit in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a computer science non profit?

A Computer Science Non-Profit job involves using technical skills to support organizations focused on social impact, education, or public service. Roles may include software development, data analysis, IT support, or program management, often aimed at increasing tech accessibility and education. These positions exist in charities, foundations, and advocacy groups, typically prioritizing mission-driven work over profit. Many employees collaborate on open-source projects, build tools for underserved communities, or teach coding skills.

What kinds of projects or initiatives might I work on in a computer science non profit role?

In a Computer Science role at a nonprofit, you'll often contribute to projects that directly support the organization's mission, such as developing internal databases, improving website accessibility, creating education platforms, or analyzing data to inform programming decisions. You may also collaborate with program staff to implement new technology solutions or support outreach efforts. Work is typically team-oriented and offers the chance to engage with a variety of departments, providing a broad view of the organization's impact. These roles can be especially rewarding if you enjoy using your technical skills to make a positive difference in communities and contribute to meaningful causes.

What are the key skills and qualifications needed to thrive in a computer science non profit position?

To thrive in a Computer Science Non Profit role, you need a solid background in computer science, programming, and an understanding of nonprofit operations, typically backed by a relevant degree or equivalent experience. Familiarity with technical tools such as data management systems, project management software, and potentially certifications like CompTIA or Google IT Support can be valuable. Strong communication, collaboration, and problem-solving skills help you work effectively with diverse teams and stakeholders. These abilities are crucial for driving mission-focused technology initiatives and achieving organizational goals with limited resources.

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Cities with the most Computer Science Non Profit job openings:

What are the most commonly searched types of Computer Science Non Profit jobs?

The most popular types of Computer Science Non Profit jobs are:

What states have the most Computer Science Non Profit jobs?

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What job categories do people searching Computer Science Non Profit jobs look for?

The top searched job categories for Computer Science Non Profit jobs are:

Infographic showing various Computer Science Non Profit job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Computational Social Scientist

Washington, DC • On-site

Full-time

Re-posted 27 days ago


Job description

Join Our Talented Team at Protagonist
We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics®. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.
Why Us?
Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.
What We Do
  • Innovative Solutions: We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.
  • Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.
  • Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.
Be Part of Something Bigger
At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.
Explore Your Future with Us!
Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.
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-faceted role. You'll support our internal data efforts, stay hands-on with analysis and client delivery, and work with the product team to help improve Narrative Analytics®, the platform our analysts use every day. Whether your background is in social science research, product and analytics, or a more technical track, what matters most is that you can take messy, real-world data and make it useful for our team and our end customers.
Responsibilities
  • Contribute to our data efforts
    • Support internal data science work: apply sound methods, keep quality high, and keep analysis reproducible and defensible.
    • Build and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Help 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 both the internal team and customers with clarity and confidence.
  • Support the product and work across teams
    • 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.
Requirements
  • Must be eligible to work on US Government contracts
  • A BS 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.
  • 2+ years of relevant experience with a bachelor's or BS degree with relevant internship experience and a proven track record of leveraging analytics to drive significant business impact, or a 1+ years of relevant experience with a master's degree with strong, practical data analytics project experience or relevant internships.
  • 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: $70,000-$102,000 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.