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Nonprofit Machine Learning Jobs in Dallas, TX (NOW HIRING)

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · Hybrid

... Nonprofit Organizations, and Affordable Housing. We Live Our Core Values Our values guide us in our ... Define data models, standards, and architecture that support reporting, analytics, machine learning ...

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · On-site

... Nonprofit Organizations, and Affordable Housing. We Live Our Core Values Our values guide us in our ... Define data models, standards, and architecture that support reporting, analytics, machine learning ...

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All JobsNonprofit Machine Learning JobsNonprofit Machine Learning Jobs in Dallas, TX

Nonprofit Machine Learning information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do nonprofit machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for nonprofit machine learning in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

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 Dallas, TX?

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

What job categories do people searching Nonprofit Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Nonprofit Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Nonprofit Machine Learning jobs?

Cities near Dallas, TX with the most Nonprofit Machine Learning job openings:

Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 4% Internship, 83% Full Time, and 13% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.

Machine Learning Engineer, GenAI/ML Associate

Fairygodboss

Plano, TX • On-site

$120 - $180/hr

Other

Medical, Retirement

Posted 5 days ago

Key responsibilities

  • Design, develop, and deploy generative AI solutions aligned with business objectives and technical requirements.

  • Contribute to the development of proof-of-concept projects and evaluate new methodologies to improve AI capabilities.

  • Create and review high-quality, secure production code using Java or Python, and develop user interfaces for AI applications using React or Angular.

Job description

Job Responsibilities
  • Ability to design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
  • Demonstrate expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
  • Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
  • Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.

Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required qualifications, capabilities, and skills
  • Minimum 2+ years of strong proficiency in Python or Java
  • one year of experience in generative AI development and prompt engineering.
  • Proven experience in application development, testing in AI projects.
  • Minimum of 2+ years of experience with React or Angular.
  • 2+ years of AWS experience is a must-have.
  • Experience with LLM models and agentic tools.
Preferred qualifications, capabilities, and skills
  • Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
  • Familiarity with data engineering practices to support AI model training and deployment.
  • Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
  • Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.
ABOUT US

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

ABOUT THE TEAM

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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