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Volunteer Data Scientist Machine Learning Jobs (NOW HIRING)

Teccon GmbH & Co. KG

... durch Machine Learning und AI und arbeitest mit Tools wie SAP BDC und MS Power Plattform * Du ... SAP Business Data Cloud & MS Power Plattform * Du bringst mehrere Jahre Erfahrung im ...

Koantek

Data Scientist

Chandler, AZ

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Medinext Global LLC

Data Scientist - W2

Orlando, FL · On-site

Data Scientist - W2Job Overview Medinext Global LLC is seeking a talented and analytical Data ... Develop statistical and machine learning models to solve business problems. * Perform exploratory ...

Koantek

Data Scientist

Chandler, AZ · On-site

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

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How much do volunteer data scientist machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for volunteer data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a volunteer data scientist machine learning do?

A Volunteer Data Scientist in Machine Learning applies data analysis and machine learning techniques to help organizations solve problems, often for nonprofits or community projects. They may work on tasks such as cleaning and analyzing datasets, building predictive models, or creating data visualizations. Their work supports impactful decision-making and can help organizations operate more efficiently or achieve specific social goals. Volunteers often collaborate with teams to define project objectives and deliver actionable insights using their technical expertise.

What skills and qualifications are needed to thrive as a volunteer data scientist machine learning?

To thrive as a Volunteer Data Scientist (Machine Learning), you need proficiency in statistics, data analysis, programming (Python or R), and a foundational understanding of machine learning algorithms, often supported by a relevant degree or online certifications. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and data visualization platforms is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for translating complex data insights to non-technical stakeholders. These skills and qualities are essential to effectively contribute value, support decision-making, and drive impact in resource-limited volunteer environments.

How does a volunteer data scientist machine learning typically collaborate with other team members or departments?

As a Volunteer Data Scientist specializing in Machine Learning, you will often work closely with cross-functional teams such as project managers, software engineers, and subject matter experts. Effective collaboration is essential, as you may need to clarify project goals, source and preprocess data, or translate complex findings for non-technical stakeholders. Regular meetings and open communication help ensure that your machine learning solutions are aligned with the organization's mission and that your insights are actionable. This collaborative environment provides valuable experience working in diverse teams and often leads to impactful, real-world applications of your technical skills.

What is the difference between Volunteer Data Scientist Machine Learning vs Volunteer Data Analyst?

AspectVolunteer Data Scientist Machine LearningVolunteer Data Analyst
Required CredentialsKnowledge of machine learning algorithms, programming skills (Python, R), basic statisticsProficiency in data visualization, basic statistics, Excel, SQL
Work EnvironmentCollaborative projects, research-focused, often remote or nonprofit settingsData reporting, dashboard creation, data cleaning in nonprofit or community projects
Employer & Industry UsageTech nonprofits, research institutions, startupsCharities, educational organizations, community initiatives

Volunteer Data Scientist Machine Learning focuses on developing predictive models and advanced analytics, requiring programming and machine learning expertise. Volunteer Data Analyst emphasizes data interpretation, visualization, and reporting. Both roles support nonprofits but differ in technical complexity and focus areas.

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Volunteer Data Scientist Machine Learning jobs near you

Data Scientist - Machine Learning, Search & Personalization

Washington, DC • On-site

Turn2Partners
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Turn2Partnersexternal

Full-time

Re-posted 21 days ago

Job description

This Turn2 client is a rapidly scaling technology company that is seeking a Data Scientist to design and deploy intelligent systems that shape how users search, discover, and interact with digital products. This role sits at the intersection of research and product, ideal for someone eager to solve hard problems at scale using applied ML.
You'll lead the development of real-time ranking, recommendation, and personalization models, working closely with engineering and product stakeholders to drive measurable user impact.
Why This Role Stands Out:
  • Core impact: Shape how users experience discovery and decision-making across the platform.
  • End-to-end ownership: From model design to production deployment and performance optimization.
  • Innovation-driven: Work with modern ML approaches-embeddings, ranking systems, and real-time inference.

What You'll Do:
  • Build machine learning models for search relevance, ranking, and personalized recommendations.
  • Develop and scale retrieval systems to support fast, relevant product discovery.
  • Design full ML pipelines from data ingestion and feature engineering to model training and deployment.
  • Experiment with embedding techniques, ranking algorithms, and personalization methods.
  • Collaborate with engineering and product teams to embed models into core user-facing experiences.

What You Bring:
  • 5+ years of hands-on experience in applied machine learning.
  • Deep knowledge of recommendation systems, search, personalization, or ranking models.
  • Strong Python skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow).
  • Experience with distributed data processing (e.g., PySpark, ETL pipelines).
  • Track record of deploying machine learning models into production systems.

Bonus Points For:
  • Advanced degree in Computer Science, Data Science, or a related technical field.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Familiarity with real-time inference systems or large-scale retrieval architectures.
  • Ability to bridge ML research and product needs-delivering practical solutions with business impact.

Apply