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Nonprofit Data Science Jobs in Raleigh, NC (NOW HIRING)

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

Proven ability to lead end-to-end data science projects from discovery through production ... Q2 employees are encouraged to give back through volunteer work and nonprofit support through our ...

Q2

Senior Data Scientist

Cary, NC · Hybrid

Proven ability to lead end-to-end data science projects from discovery through production ... Q2 employees are encouraged to give back through volunteer work and nonprofit support through our ...

Mcguirewoods

Patent Agent

Raleigh, NC · On-site

$110 - $150/hr

... to corporate, individual and nonprofit clients since 1834.Along with excellent benefits ... OurPrivacy Statementdescribes how we will process and safeguard your personal data.

Mcguirewoods

Patent Agent

Durham, NC · On-site

$120 - $180/hr

... to corporate, individual and nonprofit clients since 1834.Along with excellent benefits ... OurPrivacy Statementdescribes how we will process and safeguard your personal data.

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All JobsNonprofit Data Science JobsNonprofit Data Science Jobs in Raleigh, NC

Nonprofit Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do nonprofit data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for nonprofit data science in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 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 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.

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 popular job titles related to Nonprofit Data Science jobs in Raleigh, NC?

For Nonprofit Data Science jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Nonprofit Data Science jobs in Raleigh, NC look for?

The top searched job categories for Nonprofit Data Science jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Nonprofit Data Science jobs?

Cities near Raleigh, NC with the most Nonprofit Data Science job openings:

Nonprofit Data Science jobs near you
Infographic showing various Nonprofit Data Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Senior Data Scientist

Q2 Software, Inc.

Cary, NC • On-site

Full-time

Medical

Posted 17 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 through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.
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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