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Nonprofit Machine Learning Jobs in California (NOW HIRING)

HCVT

Senior Data & Analytics Specialist

Irvine, CA · 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 ...

HCVT

Senior Data & Analytics Specialist

Irvine, CA · 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 ...

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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 California?

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

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

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

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

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

Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in California as of August 2026, with employment types broken down into 4% Internship, 83% Full Time, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Account Executive - Mid-Market - Nonprofit Team

Windfall

San Francisco, CA • On-site

$150K - $180K/yr

Full-time

Re-posted 9 days ago

Key responsibilities

  • Research prospects to qualify them for outreach

  • Complete outreach to prospects via various channels and communicate value to qualify them

  • Manage the sales process from qualification to close

Job description

As an Account Executive on the Nonprofit team, you will be responsible for driving new business and building on our already impressive list of customer logos across a variety of industries. Innovative organizations use Windfall, including leading Food Banks, Museums, Zoos, Theaters, Ballets, Land Trusts, Independent Schools, and Symphony Orchestras. Windfall helps these customers market to and engage their donors and customers through enriched data and our new SaaS application using GenAI.
As the face of our sales organization, you will be expected to sell our industry leading data enrichment offerings to customers through a consultative sales engagement, disrupt previously held notions when necessary, and build consensus for Windfall across the customer's organization to secure deals.
We're on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
Responsibilities:
  • Research prospects to qualify them for outreach
  • Complete outreach to prospects via various channels (email, phone, social networks)
  • Communicate with prospects to deliver value and qualify them
  • Book meetings with prospects and create opportunities
  • Manage the sales process from qualification to close
  • Maintain up-to-date data in Salesforce on all owned records
  • Assist with campaigns that include accounts you own
  • Ensure Windfall stakeholders who are assisting you are fully briefed on opportunities in advance of meetings

Requirements:
  • On-site 5 days a week in San Francisco
  • A Bachelor's degree
  • 3+ years of technology sales experience
  • 1+ year of experience in a closing role
  • Verified track record of exceeding performance expectations
  • Experience with outbound prospecting
  • Excellent verbal and written communication skills, including great listening skills
  • Strong typing skills, internet and computer literacy, and the ability to learn our sales enablement tools quickly
  • Comfortable working in Google Docs and Sheets
  • Detail-oriented with an ability to manage time effectively
  • Ability to work with minimal supervision and be a self-starter

Preferred Requirements:
  • Familiarity with our sales technology stack (e.g., Salesforce, Hubspot, Groove, LinkedIn Sales Navigator, ZoomInfo, etc.)
  • Familiarity with nonprofit development and fundraising
  • Familiarity with data and analytics

Additional Information:
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site
Compensation range:
$150,000 - $180,000 a year
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.
We comply with CCPA. For more information on how we comply, review our privacy notice.
Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.

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