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Nonprofit Machine Learning Jobs in Washington (NOW HIRING)

AI Intern - DP&T

Washington, DC · Remote

$17 - $22.50/hr

This role provides hands-on exposure to applied AI, machine learning, generative AI, analytics, and software development in a nonprofit environment. The intern will collaborate with data scientists ...

Who We Are The Public Company Accounting Oversight Board (PCAOB), a nonprofit organization ... Strong understanding of AI concepts, including machine learning, generative AI, and related data ...

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Nonprofit Machine Learning information

How does the role of 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 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 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 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.
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:
Infographic showing various Nonprofit Machine Learning job openings in Washington as of July 2026, with employment types broken down into 6% Internship, 82% Full Time, and 12% Part Time. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

ProSidian Consulting

Alexandria, VA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Company Description

ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations.  Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. See Link To the ProSidian website at www.ProSidian.com

Job Description

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Systems Engineer Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization

The Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] is aligned with GSA Labor Category: Systems Engineer.

We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0

JOB OVERVIEW

Provide services and support as a Machine Learning Engineer [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture.

RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117]

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture.  Machine Learning Engineer Candidates work to facilitate Predictive Workforce Analytics delivering Data Management & Business Intelligence - Predictive Workforce Analytics through Build ML | deploy models | improve accuracy.  Further, they Develop ML pipelines for workforce analytics.

Machine Learning Engineer Professionals typically cover Predictive Workforce Analytics Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring independent execution, strong subject-matter expertise, and responsibility for complex deliverables..  They Engineer, test, and optimize technical components for Predictive Workforce Analytics; support system integration, data pipelines, automation routines, cloud services, and operational reliability.

The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid).  Initially identified Work Site Address (Working Hybrid On/Off Client Site:  401 Dulany Street Randolph Building Alexandria, VA 22314

Qualifications

Desired Qualifications For Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] (NSF0117117) Candidates:  5+ years ML.

Education / Experience Requirements / Qualifications

Bachelor's/Master's.  5+ years ML.

Skills Required

Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Data Management & Business Intelligence - Predictive Workforce Analytics Functional Area Activities. 

ML, Python

Competencies Required

  • Problem solving

Ancillary Details Of The Roles

  • Artifacts: pipelines
  • Standard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written.
  • EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow.  We strive to create a challenging and progressive work environment.  We Provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients.
  • Ful Time Regular VISA Sponsorship: NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position.  U.S.  Citizenship Required You must be a United States Citizen
  • Background Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions.  In addition, ProSidian may conduct drug testing for designated positions.

Other Details

Supports predictive systems

#TechnicalCrossCuttingJobs #Government And Public Services #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek

Additional Information

As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian.

Eight ProSidian Global Competencies

  1. Personal Effectiveness - The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results.
  2. Continuous Learning - Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive.
  3. Leadership - Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success.
  4. Client Service - Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships.
  5. Business Management - Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance.
  6. Business Development - Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions.
  7. Technical Expertise - Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy.
  8. Innovation & Knowledge Sharing (Thought Leadership) - Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement.

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OTHER REQUIREMENTS

  • Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office.  The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word, proficient with Adobe Acrobat, data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.
    • Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors.
  • Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together.
  • Humility - exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference.
  • Willingness - to constantly learn, share, and grow and to view the world as their classroom.

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BENEFITS AND HIGHLIGHTS

ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian.  At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance.  We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being.  Our growing list of benefits currently includes the following for Full-Time Employees:

  • Competitive Compensation: The pay range is competitive and includes group health benefits, pre-tax employee benefits, and performance incentives.  The company contributes a fixed dollar amount each month toward the plan chosen for medical and dental benefits, with contributions deducted on a pre-tax basis.
  • Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with network providers to offer eligible employees a variety of medical and dental plans, including high-deductible health plans and PPOs.  ProSidian also provides plans for both high and low vision..
  • 401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plans allow eligible employees to save for retirement.  A variety of investment options are available, along with support from a personal financial planner.  The plan operates as a pre-tax Safe Harbor 401(k) Retirement Savings Plan that includes a company match.
  • Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events.  These benefits include 2 weeks of vacation, 3 sick days, 10 ProSidian holidays, and government holidays..
  • Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits.
  • Purchasing Discounts & Savings Plans: We aim for your financial success; thus, we offer a Purchasing Discounts and Savings Plan through the Corporate Perks Benefit Program.  This program provides special discounts to eligible employees on everyday purchases of products and services.
  • Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace.  Security clearance is a valuable asset in your professional portfolio, enhancing your credentials.
  • ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program.
  • Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing and supporting..
  • Flexible Spending Account: FSAs help you cover eligible out-of-pocket healthcare and dependent daycare expenses on a pre-tax basis.  You estimate your expected costs for ...

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About ProSidian Consulting

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ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit www.ProSidian.com or follow the company on Twitter at www.twitter.com/ProSidianfor more information.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Charlotte, NC, US

Year founded

2004

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