ZipRecruiter

Log In

1

Volunteer Data Scientist Machine Learning Jobs (NOW HIRING)

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Athena Technology Group

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 ...

Serve Robotics

Senior Data Scientist, Machine Learning

$194K - $218K/yr

S. equivalent in Computer Science, Data Science, or a related field, * 5 years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or any occupation, job title ...

next page

Showing results 1-20

All JobsVolunteer Data Scientist Machine Learning Jobs

Volunteer Data Scientist Machine Learning information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 21, 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 are the key skills and qualifications needed to thrive as a Volunteer Data Scientist (Machine Learning), and why are they important?

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.

Is 30 too late for data science?

For a volunteer data scientist or those pursuing a career in data science, starting at age 30 is not too late. Many professionals transition into data science later in life by acquiring relevant skills such as programming, statistics, and machine learning through online courses or certifications, and they can build a successful career regardless of age.

Can I get a data scientist job with no experience?

Entry-level data scientist positions, including those involving machine learning, often require some knowledge of programming, statistics, and data analysis tools. While prior experience is preferred, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills. Employers may consider motivated candidates with strong foundational skills and a willingness to learn on the job.

How do Volunteer Data Scientist Machine Learning roles 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 does a Volunteer Data Scientist in 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.

How to get a job in data science machine learning with no previous experience?

To secure a volunteer data scientist machine learning role with no experience, focus on building foundational skills in programming (Python or R), data analysis, and machine learning algorithms through online courses and tutorials. Gain practical experience by working on personal projects, contributing to open-source datasets, or participating in competitions like Kaggle to demonstrate your abilities to potential employers or organizations. Certifications and a strong portfolio can also improve your chances of entry-level opportunities in this field.

Is ML a high paying job?

A volunteer data scientist specializing in machine learning typically does not receive a salary, as volunteering is unpaid. However, full-time machine learning roles are generally well-compensated, with salaries varying based on experience, location, and industry, often ranging from moderate to high six figures for experienced professionals. Skills in programming, statistical analysis, and familiarity with tools like Python or TensorFlow can influence earning potential.
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:
Volunteer Data Scientist Machine Learning jobs near you
Data Scientist Machine Learning

Data Scientist Machine Learning

Rule14

Santa Monica, CA • On-site

$75K - $100K/yr

Full-time

Medical

Posted 13 days ago

Job description

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR projects. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions.

Responsibilities

  • Develop and train machine learning models for various applications
  • Perform feature engineering to enhance model performance
  • Select appropriate algorithms based on project requirements
  • Tune and optimize model performance for deployment
  • Clean and preprocess data to ensure model accuracy
  • Design experiments to validate and improve model outcomes
  • Collaborate within a small team to integrate machine learning solutions
  • Manage end-to-end deployment of machine learning models

Preferred Qualifications

  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with SQL for data querying and manipulation
  • Strong skills in statistical analysis and data visualization
  • Critical thinking and effective communication abilities

Company Description

Rule14 is an AI company and technology incubator focused on applying new approaches to uncover patterns and extract valuable intelligence within big data.
Whether helping businesses gain insight on customer loss prevention, designing targeted revenue enhancement campaigns, or uncovering fraud, waste and abuse within government programs, Rule14 empowers organizations assessing massive amounts of data for real-time decision-making.
Nventr.ai focuses on applying artificial intelligence to real-world operational environments where reliability, speed, and accuracy are critical. The company builds systems that integrate AI directly into day-to-day workflows, enabling better decision-making, automation, and coordination between software and physical operations.
Rule14 logo

About Rule14

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2011

View All Rule14 Jobs