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Nonprofit Machine Learning Jobs in Washington (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 Washington?

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

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

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

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

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

Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in Washington as of August 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Part Time. Highlights an 72% In-person, 6% Hybrid, and 22% Remote job distribution.

Cleared Data Scientist (Multiple Levels)

Noblis

Chantilly, VA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Noblis is seeking a full cleared Data Scientist to join their team in Chantilly, VA, supporting the intelligence community. The role involves developing innovative, data-driven solutions and collaborating with cross-functional teams to apply advanced analytics, machine learning, and AI techniques to mission-critical challenges.
Responsibilities:
• Working with open-source data and statistical software packages, cloud services, and AI/ML technologies to find patterns and relationships in large volumes of data.
• Analyzing and interpreting large, complex datasets.
• Exploring and modeling data to uncover patterns and features of interest.
• Designing, building, and training machine learning models.
• Collecting, curating, and processing large-scale structured and unstructured datasets.
• Researching, implementing, and documenting analytical approaches and outcomes.
• Utilizing high-performance computing resources, including GPU clusters and cloud-based platforms.
• Applying data visualization (e.g., Tableau) to communicate findings to stakeholders.
Qualifications:
Required:
• Active Top-Secret SCI (TS/SCI) with Polygraph
• Experience with machine learning, statistical modeling, and/or time-series forecasting
• Proficiency in data science tools and technologies such as Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus)
• Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure
• Experience working with Cyber data to include examples such as Shodan and Censys.IO
• Experience with data visualization tools (e.g., Tableau)
• Experience working with open-source datasets
• Demonstrated ability to clean, manage, and optimize large-scale datasets
• Experience analyzing data in Python
• Fundamental understanding of a range of AI techniques and ability to match techniques to problems
• Ability to effectively communicate technical concepts to a variety of audiences verbally and in writing
• US Citizenship is required
• Level III: Bachelor's degree with five (5) years of experience - OR - associate's degree with eight (8) years of experience - OR - High School diploma/GED with eleven (11) years of experience
• Level IV: Bachelor's degree with eight (8) years of experience - OR - associate's degree with eleven (11) years of experience - OR - High School diploma/GED with fourteen (14) years of experience
Preferred:
• Familiarity with developing, retraining, or using AI and Machine Learning packages
• Knowledge of software and hardware optimization techniques for large-scale data processing
• Proficient in data warehousing, data management, and ETL tools (e.g., Apache NiFi, Pentaho, Kafka)
• Advanced degree in a data science equivalent field or sub-field
Company:
Noblis is a nonprofit science, tech strategy organization that works in the public interest to help clients solve most complex problems. Founded in 1996, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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