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Volunteer Machine Learning Jobs in Washington (NOW HIRING)

Gritter Francona

Lead Data Scientist

Washington, DC

... machine learning and predictive modeling in healthcare or federal health IT environments * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance (Basic, Voluntary ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Apply statistical methods and machine learning techniques to solve business and policy problems ... Holidays and generous paid time off, including to vote and volunteer * Paid parental, military ...

Interclypse Inc.

Data Scientist

Annapolis Junction, MD · On-site

Proficient in SQL, Python, R, or related programming and experience with machine learning libraries ... Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness ...

Interclypse Inc.

Data Scientist

Annapolis, MD · On-site

Proficient in SQL, Python, R, or related programming and experience with machine learning libraries ... Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness ...

The Bison Group LLC

Data Scientist

Washington, DC

$130K - $160K/yr

Design, develop, and deploy machine learning models and statistical algorithms to detect financial ... Any voluntary disclosure of prior wage information may be considered to support a higher offer but ...

The Bison Group

Data Scientist

Washington, DC · On-site

Design, develop, and deploy machine learning models and statistical algorithms to detect financial ... Any voluntary disclosure of prior wage information may be considered to support a higher offer but ...

Gritter Francona

Lead Data Scientist

Washington, DC

Serves as the technical lead for advanced analytics, predictive modeling, and machine learning ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Gritter Francona

Lead Data Scientist

Washington, DC · On-site +1

Serves as the technical lead for advanced analytics, predictive modeling, and machine learning ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

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Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for volunteer machine learning in Washington is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the volunteer machine learning position?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a volunteer machine learning?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a volunteer machine learning?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Washington?

The most popular types of Machine Learning jobs in Washington are:

What are popular job titles related to Volunteer Machine Learning jobs in Washington?

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

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

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Volunteer Machine Learning jobs near you

Lead Data Scientist (Healthcare / ML)

System One

Columbia, MD • Remote

$81/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Job description

Job Title: Lead Data Scientist (Healthcare / ML) Location: Columbia, Maryland Type: Contract To Hire Compensation: $81 per hour Contractor Work Model: Hybrid – onsite and remote

Responsibilities

  • Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes.
  • Identify and solve complex business problems using advanced numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
  • Communicate analytical findings effectively to product teams, leadership, and customers, while educating about artificial intelligence, machine learning, and statistical models.
  • Support data science initiatives by applying advanced analytical capabilities and leading data mining and extraction activities.
  • Synthesize analytical insights for consumption by senior management and various teams.
  • Mentor and develop junior data scientists to enhance their analytical skills and knowledge.
  • Translate business priorities into data science deliverables, ensuring alignment with organizational goals.
  • Implement best practices for ML/AI/DS, and develop scalable and robust data products and software solutions.
  • Lead interactions between analytics teams, business units, and other departments to facilitate collaboration and project success.
Requirements
  • Bachelor's Degree in Statistics, Mathematics, Computer Science, or a related field; 8 years of relevant work experience. In lieu of a degree, an additional 4 years of relevant experience is required.
  • Minimum of 8 years of experience working with provider data, including working with leadership on data issues, accuracy, and interactions with claims and claims platforms.
  • Experience with Salesforce and FACETS is required.
  • Healthcare industry experience for 2-4 years at an intermediate level.
  • Expertise in operating systems and APIs embedded in applications, with 4-6 years of experience.
  • Ability to communicate effectively, document objectives and procedures, and support data exploration and analysis tasks.
  • Proficiency in model evaluation, tuning, performance, operationalization, and scalability of scientific techniques.
  • Proficiency in statistical modeling applications and advanced SQL in multiple syntaxes.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-PJ1 #LI-PJ1 Ref: #851-Rockville-S1