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Nonprofit Data Science Jobs in Ohio (NOW HIRING)

Vaco by Highspring

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Bachelor's degree in Information Technology, Computer Science, or equivalent professional ... Experience supporting healthcare, housing, or nonprofit data environments (preferred). Skills

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

Bachelor's degree in Information Technology, Computer Science, or equivalent professional ... Experience supporting healthcare, housing, or nonprofit data environments preferred Skills:

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

Bachelor's degree in Information Technology, Computer Science, or equivalent professional ... Experience supporting healthcare, housing, or nonprofit data environments preferred Skills:

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Nonprofit Data Science information

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 Ohio?

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

What job categories do people searching Nonprofit Data Science jobs in Ohio look for?

The top searched job categories for Nonprofit Data Science jobs in Ohio are:

What cities in Ohio are hiring for Nonprofit Data Science jobs?

Cities in Ohio with the most Nonprofit Data Science job openings:

Nonprofit Data Science jobs near you
Infographic showing various Nonprofit Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Microelectronics Security Data Scientist

Riverside Research Institute

Dayton, OH • On-site

$130K - $195K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Conduct research in data science applications, including deep learning and statistical analysis, for microelectronic hardware security problems.

  • Perform all aspects of the data science lifecycle, including gathering requirements, data preprocessing, exploratory analysis, modeling, evaluation, and presenting findings.

  • Develop whitepapers and presentations to communicate research findings.

Job description

Riverside OverviewRiverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.    All Riverside Research opportunities require U.S. Citizenship.  Position Overview

The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As a Microelectronics Security Data Scientist, you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research projects developing solutions to complex, open-ended hardware security problems.  The position is at the customer's location in Dayton, OH.  Remote work is not available for this position. Travel is not expected to exceed two to three times a year.

Responsibilities
  • Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security
  • Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings
  • Develop whitepapers and presentations to communicate research findings
  • Contributes to proposals for new research in similar and/or related technology areas
  • Provide technical mentorship to junior researchers supporting your programs
  • Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects
Qualifications

Required

  • A minimum of 5 years of related experience with a Bachelors degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
  • Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals
  • Expertise with machine learning suited for signal and image data, in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction
  • Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.)
  • Demonstrated experience processing timeseries or image datasets, including alignment, filtering, feature extraction, and model development
  • Experience presenting technical material to both technical and non-technical audiences
  • Ability to manage timelines, product delivery, and product quality for research projects
  • Willing to work in a secure US Government facilities
  • Interest in solving open-ended research challenges
  • Willing to travel 2-3 times per year

Desired 

  • Active DoD Top Secret (TS) or equivalent US Government security clearance
  • Experience with TensorFlow, PyTorch, or similar Deep Learning framework
  • Experience with batch processing, GPU acceleration, or parallel workloads
  • of large data sets across multiple GPUs
  • Experience with data transformations such as Principal Component Analysis (PCA)
  • Experience using revision control software
  • Experience leading a small technical team on research projects
  • Understanding of information theory and its application to cryptographic algorithms
  • Understanding of signal processing is highly desired
  • Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Master's Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline
Global Comp$130,000 - $195,000 This represents the typical compensation range for this position based on experience, location and other factors.Closing Statement  Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring.  Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.Employment Type: OTHER

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