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Nonprofit Machine Learning Jobs in Ohio (NOW HIRING)

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Nonprofit Machine Learning information

What is a nonprofit machine learning professional?

A Nonprofit Machine Learning professional is someone who applies machine learning and data science techniques to help nonprofit organizations achieve their missions. This can include using predictive analytics to improve fundraising, optimize program delivery, or analyze the impact of initiatives. They often work with large datasets, develop algorithms, and collaborate with program staff to find data-driven solutions to social challenges. Their work helps nonprofits make more informed decisions and maximize their impact.

How does the role of a machine learning specialist in a nonprofit differ from similar roles in the private sector?

In a nonprofit setting, a Machine Learning Specialist often works with limited resources and must prioritize projects that directly support the organization's mission, such as optimizing donor outreach, improving program delivery, or analyzing social impact. Collaboration with program staff, fundraisers, and volunteers is common, requiring strong communication skills to translate technical insights into actionable strategies. Unlike the private sector, where profitability may be the primary focus, success in a nonprofit environment is measured by social outcomes and mission alignment. This role offers the opportunity to see the tangible impact of your work and can lead to leadership or strategic roles within the organization as you demonstrate value.

What are the key skills and qualifications needed to thrive as a nonprofit machine learning specialist, and why are they important?

To thrive as a Nonprofit Machine Learning Specialist, you need a strong background in data analysis, statistics, and machine learning, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with donor management or CRM systems are highly valuable. Strong communication, problem-solving, and collaboration skills help translate technical solutions into meaningful impact for nonprofit missions. These abilities are crucial for leveraging data-driven insights to optimize resources, drive fundraising, and advance organizational goals.

What is the difference between Nonprofit Machine Learning vs Nonprofit Data Analyst?

AspectNonprofit Machine LearningNonprofit Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), statistical modelingData visualization, statistical analysis, Excel, SQL
Work EnvironmentResearch-focused, technical teams, data science projectsReporting, data interpretation, stakeholder communication
Employer & Industry UsageTech-driven nonprofits, research institutionsCharities, advocacy groups, social service agencies

Nonprofit Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and statistical skills. Nonprofit Data Analysts primarily interpret and visualize data to inform decisions. While both roles support nonprofit missions, Machine Learning positions are more technical and research-oriented, whereas Data Analysts focus on data reporting and communication.

What are popular job titles related to Nonprofit Machine Learning jobs in Ohio?

For Nonprofit Machine Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Nonprofit Machine Learning jobs in Ohio look for?

The top searched job categories for Nonprofit Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Nonprofit Machine Learning jobs?

Cities in Ohio with the most Nonprofit Machine Learning job openings:

Infographic showing various Nonprofit Machine Learning job openings in Ohio as of August 2026, with employment types broken down into 4% Internship, 82% Full Time, and 14% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Lead Software Engineer - Sr. Full Stack Java/Python Engineer

JP Morgan Chase

Westerville, OH

Full-time

Medical, Retirement

Re-posted 8 hours ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. You'll work with talented engineers, tackle meaningful technical challenges, and help deliver technology that supports customers at scale.

As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking - Sales & Incentive Growth team, you are an integral part of an agile team that enhances, builds, and delivers trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will drive critical technology solutions across multiple technical areas and business functions, helping shape design decisions, improving reliability, and raising engineering standards through strong collaboration and technical leadership.

Job responsibilities

  • Execute creative software solutions through design, development, and technical troubleshooting, applying non-routine approaches to solve complex problems
  • Develop secure, high-quality production code, and review, test, and debug code written by others
  • Identify opportunities to automate remediation of recurring issues and improve the operational stability of applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical fit, and alignment with enterprise standards
  • Lead and contribute to communities of practice to drive adoption of new and leading-edge technologies across Software Engineering
  • Partner with product and technology stakeholders to translate business needs into technical solutions and delivery plans
  • Promote a team culture grounded in diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proficiency across the Software Development Life Cycle, including design, build, test, deploy, and operate
  • Advanced understanding of application resiliency and security practices in modern software delivery
  • Advanced proficiency in one or more programming languages such as Java, JavaScript, or Python
  • Experience building services using Spring Boot
  • Experience designing and delivering event-driven solutions using Kafka
  • Practical cloud-native experience delivering and operating production workloads on Amazon Web Services (AWS)
  • Proficiency in automation and continuous delivery practices, including CI/CD
  • Demonstrated depth in at least one technical discipline such as cloud, artificial intelligence, machine learning, or mobile engineering

 

Preferred qualifications, capabilities, and skills

  • Experience leading a small team of engineers (for example, three to six) while remaining hands-on in delivery
  • Demonstrated mentoring and coaching of junior engineers through feedback, pairing, and code review
  • Experience supporting development of machine learning models, including causal inference approaches
  • Experience applying AI-assisted engineering techniques to accelerate delivery and improve quality
  • Hands-on experience using Visual Studio Code for debugging web, cloud, and distributed applications

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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