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Non Profit Data Scientist Jobs (NOW HIRING)

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Q2 employees are encouraged to give back through volunteer work and nonprofit support through our ...

Bloomerang

Lead Data Scientist

We champion the power and potential of nonprofits, igniting next-level impact with the team and ... The Role As a Data Science Lead at Bloomerang, you'll own the intelligence layer on top of the ...

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX · On-site

We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their ... data science and machine learning. We have a strong partnership with Technology, which provides ...

GoFundMe

Staff Data Scientist (Pricing)

San Francisco, CA · On-site

$179.50 - $269.50/hr

By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ... We're looking for a Staff Data Scientist, Pricing to drive the science, strategy, experimentation ...

ADVI Health

Senior Data Scientist-RWE

Washington, DC · On-site

$126K - $158K/yr

... sciences organizations, the federal government, state government, top consultants ... nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity ...

Independence Pet Group

Lead Data Scientist

Chicago, IL · On-site

The Lead Data Scientist will lead the development and application of advanced data science and ... Paid time off to volunteer at nonprofit organizations * Pet friendly office environment * Commuter ...

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Non Profit Data Scientist information

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How much do non profit data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for non profit data scientist 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 types of challenges do non profit data scientists typically encounter in their work?

Non Profit Data Scientists often work with smaller or less-structured datasets compared to those in the private sector, which can require creative problem-solving and strong data cleaning skills. They frequently collaborate across teams, including program managers and fundraising staff, to interpret data needs and translate insights into actionable recommendations. Balancing resource constraints while delivering impactful analysis is common, but it also provides a rewarding opportunity to directly influence positive social outcomes. Many in this role find the variety of projects and close alignment with an organization’s mission both stimulating and meaningful.

What are the key skills and qualifications needed to thrive as a non profit data scientist?

To thrive as a Non Profit Data Scientist, you should possess strong analytical skills, experience with statistical analysis, and a background in data science or a related field. Proficiency in tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is often required, and certifications like Certified Analytics Professional (CAP) can be advantageous. Strong communication, problem-solving abilities, and a passion for social impact help data scientists effectively translate complex findings to diverse stakeholders. These qualifications are crucial for leveraging data to support nonprofit missions, optimize programs, and drive evidence-based decision-making.

What is a non profit data scientist?

A Non Profit Data Scientist uses data analysis, statistical modeling, and machine learning to help nonprofit organizations make informed decisions, measure impact, and optimize programs. They work with diverse datasets, including donor contributions, program outcomes, and demographic information, to derive insights that drive social good. Their responsibilities often include data cleaning, visualization, predictive modeling, and communicating findings to stakeholders. Unlike corporate data science roles, their focus is on mission-driven outcomes rather than profit maximization.

More about Non Profit Data Scientist jobs
What cities are hiring for Non Profit Data Scientist jobs? Cities with the most Non Profit Data Scientist job openings:
What are the most commonly searched types of Non Profit Data Scientist jobs? The most popular types of Non Profit Data Scientist jobs are:
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What job categories do people searching Non Profit Data Scientist jobs look for? The top searched job categories for Non Profit Data Scientist jobs are:
Non Profit Data Scientist jobs near you
Infographic showing various Non Profit Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Q2 Software, Inc.

Cary, NC • On-site

Full-time

Medical

Posted 9 days ago

Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
The Job At-A-Glance:
Q2's Relationship Pricing platform, used by thousands of commercial bankers across hundreds of banks of all sizes, empowers bankers to win better deals and grow stronger relationships. As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate production systems that power the analytics and insights uncovered from one of the world's largest commercial banking datasets and play an active role in shaping the product roadmap by identifying where data science and AI can create highest business and user value.
A Typical Day:
  • Explore and engineer features from large, complex commercial banking datasets including loan pricing, relationship profitability, and deal performance data
  • Design and prototype machine learning models - including pricing recommendation, deal win likelihood, and anomaly detection - and see them through to production deployment
  • Build and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval over banking data
  • Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization
  • Collaborate with engineering teams to deploy and maintain production-grade models and analytics systems
  • Mentor junior team members and contribute to best practices in modeling, experimentation, and responsible AI
  • Communicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiences

Bring Your Passion, Do What You Love. Here's What We're Looking For:
  • Typically requires a Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field and 8 years of related experience; or an advanced degree with 6+ years of experience; or equivalent related work experience
  • Strong proficiency in Python or R, SQL, and machine learning libraries
  • Hands-on experience with large language models including prompt engineering, RAG and LLM evaluation frameworks
  • Proven ability to lead end-to-end data science projects from discovery through production
  • Experience writing clean, maintainable code and using version control (e.g., Git).

Preferred experience:
  • Familiarity with vector databases and embedding-based retrieval
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience with BI tooling (PowerBI or equivalent)
  • Experience with financial services, banking or fintech - commercial banking familiarity strongly preferred

This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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