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Volunteer Data Scientist Machine Learning Jobs (NOW HIRING)

Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves ...

So what's the job As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You'll work closely with our product and ...

Data Scientist (Machine Learning)

New York, NY ยท On-site

$180K - $230K/yr

Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture Why this Role is Different Most Data Science roles currently on the market are focused on optimizing ad ...

Senior Data Scientist (Machine Learning & MLOps) Our client is seeking a Data Scientist (Machine Learning & MLOps) to help build the next generation of its intelligent water utility platform. This is ...

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

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We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

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Volunteer Data Scientist Machine Learning information

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$37.5K

$122.7K

$196.5K

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

As of Aug 23, 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.

What cities are hiring for Volunteer Data Scientist Machine Learning jobs?

Cities with the most Volunteer Data Scientist Machine Learning job openings:

What are the most commonly searched types of Data Scientist Machine Learning jobs?

The most popular types of Data Scientist Machine Learning jobs are:

What states have the most Volunteer Data Scientist Machine Learning jobs?

States with the most job openings for Volunteer Data Scientist Machine Learning jobs include:

Data Scientist (Machine Learning)

Nelo

Manhattan, NY โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves designing causal inference models, creating algorithms for credit pricing, and leading ML infrastructure projects.
Responsibilities:
โ€ข Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies.
โ€ข Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking.
โ€ข Own the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build.
Qualifications:
Required:
โ€ข Strong academic background (PhD preferred)
โ€ข Deep theoretical roots in classification, forecasting, and optimization
โ€ข At least 5 years of experience applying theoretical knowledge in a production environment
โ€ข Proficient in writing production-grade Python
โ€ข Proficient in SQL
โ€ข Ability to balance intellectual rigor with the need to execute
โ€ข Willingness to work in-office in NYC
Company:
Nelo increases the buying power for consumers in LatAm. Backed by Two Sigma Ventures, Homebrew, Susa Ventures, and more. Founded in 2019, the company is headquartered in Mexico City, MEX, with a team of 11-50 employees. The company is currently Early Stage.