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How much do nonprofit data science jobs pay per year?

As of Jul 24, 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 job?

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 the Nonprofit Data Science position, 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.

More about Nonprofit Data Science jobs
What cities are hiring for Nonprofit Data Science jobs? Cities with the most Nonprofit Data Science job openings:
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Nonprofit Data Science jobs near you
Infographic showing various Nonprofit Data Science job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 69% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Manager of Data Science

Manager of Data Science

Providence Digital Innovation Group

Seattle, WA • Remote

Other

Posted 20 days ago

Job description

This is a remote role.  We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.

Providence is one of the largest not-for-profit health systems in the United States.

At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.

The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team.  We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.

DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.

Recently funded DIG startups include DexCare and Praia Health. 

Success in this role means you can join future funded startups on the ground floor. 

Job Summary:
 
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience? 
 
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.  
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG. 
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.  
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.  
 
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling. 
  • 4 years Leadership experience.
Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management     
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.) 

Apply