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Non Profit Data Scientist Jobs (NOW HIRING)

... nonprofit clients. We anticipate a workload of approximately 30-60 hours per month, varying with ... Clean and process survey data efficiently, including the development of survey weights. * Produce ...

New

$83 - $138/hr

... nonprofit clients. We anticipate a workload of approximately 30-60 hours per month, varying with ... Clean and process survey data efficiently, including the development of survey weights. * Produce ...

New

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 ...

Data Scientist - Sr Associate

Plano, TX · On-site

$55K - $55K/yr

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 ...

Data Scientist - Sr Associate

Plano, TX

$55K - $55K/yr

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 ...

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for ... The Firefox Data Science team partners with Product and Engineering to grow usage of our flagship ...

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for ... The Firefox Data Science team partners with Product and Engineering to grow usage of our flagship ...

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Non Profit Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Aug 23, 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 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.

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 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.

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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:

What states have the most Non Profit Data Scientist jobs?

States with the most job openings for Non Profit Data Scientist jobs include:

Infographic showing various Non Profit Data Scientist job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist-RWE

ADVI Health LLC

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Description:

About Us

ADVI Health: Expert Advice. Clear Vision.

Since 2013, clients have sought ADVI Health’s expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide.



We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, MedTech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments.



ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad. To learn more... visit us at www.advi.com



Overview

We are seeking a passionate HEOR/RWE Senior Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you’ll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You’ll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most.

Analytics and coding work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies for pharma clients.


Job Duties


• Design and execute rigorous analyses of Medicare, Medicaid, and commercial healthcare claims data to generate real-world evidence supporting HEOR, value, and market access initiatives.

• Design and lead claims-based RWE analyses evaluating utilization, cost, and quality impacts using CCW data in VRDC and other secure environments.

• Develop and validate SAS programs to support observational studies, comparative effectiveness research, and health economic analyses.

• Build and maintain analytical models and data pipelines using SAS to ensure accuracy, reproducibility, and scalability of HEOR analyses.

• Synthesize findings into clear, compelling insights that inform payer strategy, pricing, reimbursement, and policy decisions for life sciences clients.

• Collaborate cross-functionally with internal teams and client stakeholders to align evidence generation strategies with business and scientific goals.

• Developing RWE reporting systems, continuous data quality optimization, and analytics for health economics and outcomes research (HEOR) evaluation and stakeholder decision-making.


Key Responsibilities


• Lead components of analyses or deliverables under general guidance.

• Conduct independent research and interpret data.

• Support proposal inputs and client-ready materials.

• Mentor Associates on basic methods and quality standards.


Core Competencies

Technical Proficiency

Problem Solving

Accountability

Mentorship

Client Awareness


Requirements:

• Master’s or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field

• Experienced in both qualitative & quantitative research, survey design, and analyses.

• At least 7 years of related experience, with SAS programming experience.

• 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life sciences.

• Proven ability to translate complex findings into clear, decision-ready insights to support payer strategy, value assessment, and policy making.

• Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data).

• Solid understanding of health outcomes, cost analyses, and study designs used in HEOR and RWE research.

• Experience working in HEOR, value and economics outcomes research (VEOR), or real world evidence (RWE) claims experience

• Extensive experience working with health care datasets and performing quantitative research


An ideal candidate may also have:

• Understanding of health care policy issues in Medicare and/or Medicaid

• Experience working with data offered in the CMS’ Chronic Condition Warehouse

• Experience working in the Virtual Research Data Center (VRDC) offered by CCW

• Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data



Location

Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements.



Compensation and Benefits

The annual base salary range is $126,000-$158,000 plus a bonus plan. This range reflects ADVI’s current expectations for the role. Actual compensation may vary and will be determined based on a number of factors including, but not limited to, job related skills, experience, education, internal equity, and market considerations. The base salary range does not include bonuses, potential commission or other incentive compensation, which may be available as part of the total rewards package. Additional details regarding compensation philosophy and benefits will be shared by the recruiter during the interview process.


ADVI offers an outstanding benefits package, including the following:

• Medical, dental, and vision

• 8 paid holidays, including one ADVI Anniversary Day per calendar year

• 401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting

• Health Reimbursement Account

• Life and short-term and long-term disability insurance

• Paid vacation and sick leave


Diversity Statement

ADVI’s commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself.



Our Vision

To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide.



Our Mission

To provide life science and healthcare innovators the benefit of our team’s wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care.



Our Values

Act with Integrity

Strive for Excellence

Make an Impact

Think smart, Stay curious

Celebrate the Journey, not just the results



We look forward to hearing from you!



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