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Nonprofit Data Science Jobs (NOW HIRING)

Dataro Ops Pty

$120 - $170/hr

Why this role exists We're building out the modeling and data science behind Dataro's US ... Our best-in-class prospect research tool, used by hundreds of nonprofits today and thousands soon.

New

Socket.dev

Senior Consultant - Data Science

Manhattan, NY · On-site

$125 - $150/hr

... and non-profit organizations). * Apply theoretical knowledge to develop predictive models using ... Data Scientist and proficient with Python and SQL. * Experience with visualization tools such as ...

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How much do nonprofit data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for nonprofit data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a nonprofit data science?

A Nonprofit Data Science job involves using data analysis, statistics, and technology to help nonprofit organizations make informed decisions, improve efficiency, and measure impact. Professionals in this role collect, clean, and analyze data to support fundraising, program evaluation, and stakeholder reporting. They often work with tools like Python, R, SQL, and data visualization platforms to uncover insights. Unlike corporate data science, the focus is on social good rather than profit.

What are the key skills and qualifications needed to thrive in nonprofit data science, and why are they important?

To thrive in Nonprofit Data Science, you need strong analytical and statistical skills, proficiency in data analysis, and a relevant degree such as statistics, mathematics, or computer science. Familiarity with tools like Python, R, SQL, and data visualization software, as well as certifications in data analysis or nonprofit management, are highly valued. Exceptional communication, problem-solving abilities, and a passion for mission-driven work help individuals excel in this field. These skills are crucial for transforming complex data into actionable insights that further an organization's social impact and fundraising efforts.

What are the typical daily responsibilities of someone working in nonprofit data science?

Daily responsibilities for a Nonprofit Data Science professional often include gathering, cleaning, and analyzing data related to program outcomes, donor engagement, and fundraising efficiency. You may develop reports, dashboards, and visualizations to help internal teams make data-driven decisions. Collaborating closely with program managers, development teams, and external stakeholders is common to ensure data accurately represents impact. Individuals in this role also frequently participate in strategic planning and may be involved in grant reporting and evaluating new initiatives for measurable results.

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Cities with the most Nonprofit Data Science job openings:

What states have the most Nonprofit Data Science jobs?

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Nonprofit Data Science jobs near you
Infographic showing various Nonprofit Data Science job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist - US

Dataro Ops Pty

On-site

$120 - $170/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

Location: US remote, with preference for Pacific or Mountain Time. Candidates in SF / Bay Area, Austin, Denver, or other emerging team hubs are especially encouraged to apply.

Employment

Full-time, permanent

About Dataro

Dataro is an ethically minded SaaS startup using machine learning to help not-for-profits raise more money and do more good. Our platform powers fundraising for organizations across the world, helping them run smarter campaigns and improve donor engagement using data-driven insights.

Why this role exists

We're building out the modeling and data science behind Dataro's US partnerships and our prospect research product. We're looking for a senior data scientist who loves digging into messy, large-scale data: finding the signal, solving the problem, and shipping it. You'll own work end to end, from analysis through to production, with real autonomy and close collaboration with data engineering and product.

This isn't a heads-down modeling role. It's for someone energized by hard data questions who wants their work to ship.

What you'll work on

Partnership models. A distinct set of predictive models, tuned to each partner's customer profile and separate from our core product models. You'll pick it up, iterate and improve on existing models and build new models as partners come on board, and get to the bottom of prediction issues along the way (why does this donor have this score? what in this client's data is throwing the model off?).

Prospect AI. Our best-in-class prospect research tool, used by hundreds of nonprofits today and thousands soon. It uses agentic AI to research and build rich profiles on prospective donors — and the engineering team is driving it to run far faster and cheaper at scale. Your job is the data and quantitative side: solving identity resolution and data quality problems, building out the underlying profile database, and proposing quantitative solutions to large-scale data issues. If you like finding the signal in huge, messy datasets, this is your playground.

What you'll bring

4+ years applied data science or ML experience, including production model deployment

Strong Python and standard ML frameworks

Solid grasp of experimental design, model validation, and statistical methods

A self-starter who takes end-to-end ownership

LLM / generative AI experience — feature development, evaluation, or hybrid approaches

Fundraising, wealth screening, or nonprofit data experience

Familiarity with donor propensity or wealth modelling

AWS or equivalent for deployment and monitoring

What makes this exciting

You'll solve data problems most teams never get to touch, work at real scale, and grow from picking up early models into owning what comes next — with every gain helping nonprofits raise more for the causes they serve.

  • Fully covered "silver" tier healthcare plan (with medical/dental/optical)
  • 401k plan, matched up to 5%
  • 4 weeks paid leave (with additional leave if moving house, having a baby, etc, subject to our internal policies)
  • 10 days paid sick leave
  • Professional development budget for courses, mentoring or conferences and additional home office budget
  • Additional Paid Volunteering Leave to give back to the causes that matter to you
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