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Volunteer Data Science Jobs (NOW HIRING)

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

DATA SCIENTIST

Rome, NY · On-site

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

DATA SCIENTIST

Aurora, CO · On-site

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

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Volunteer Data Science information

See salary details

$16.5K

$93.9K

$198K

How much do volunteer data science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for volunteer data science in the United States is $93,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Volunteer Data Scientist, and why are they important?

To thrive as a Volunteer Data Scientist, you need strong analytical skills, knowledge of statistics, and proficiency in programming languages such as Python or R, often supported by a degree in a quantitative field or relevant coursework. Familiarity with data visualization tools, machine learning frameworks, and platforms like Jupyter Notebook or Tableau is typically required. Strong communication, problem-solving, and teamwork skills help you translate data insights for nonprofit stakeholders and collaborate effectively. These skills ensure that data-driven solutions are impactful, actionable, and aligned with organizational goals in resource-limited environments.

What types of projects and responsibilities can I expect as a Volunteer Data Scientist?

As a Volunteer Data Scientist, you'll often work on real-world data projects that support non-profit or community organizations. Responsibilities may include cleaning and analyzing datasets, building predictive models, creating data visualizations, and presenting actionable insights to stakeholders with varying technical backgrounds. You'll likely collaborate with other volunteers, project managers, and subject matter experts, often working remotely or in a flexible team environment. This role provides valuable experience working with diverse datasets and can offer opportunities to build your portfolio while making a positive impact.

Can I get a data science job without experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience can be helpful, candidates can improve their chances by completing relevant coursework, certifications, or personal projects to demonstrate skills to employers.

What is a Volunteer Data Scientist?

A Volunteer Data Scientist is someone who applies data analysis, statistical, and computational skills to help organizations—often nonprofits or community groups—solve problems or make data-driven decisions, without receiving monetary compensation. These volunteers typically work on projects like data cleaning, visualization, predictive modeling, or building dashboards. They may collaborate remotely or in person, and their work often supports causes such as healthcare, education, or social justice. Volunteering in data science is a way to gain experience, contribute to meaningful projects, and build professional networks.

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

To get a data science job with no experience, focus on building relevant skills through online courses, projects, and certifications in programming, statistics, and machine learning. Gaining practical experience with tools like Python, R, and SQL, and creating a portfolio of projects can demonstrate your abilities to employers. Entry-level roles often value demonstrated skills and a strong foundation over formal experience alone.

Is 30 too late for data science?

For a volunteer data science role, starting at age 30 is not too late, as many skills such as programming, statistics, and data analysis can be learned at any age. Success depends on dedication, gaining relevant experience, and building a portfolio, regardless of age.
More about Volunteer Data Science jobs
What cities are hiring for Volunteer Data Science jobs? Cities with the most Volunteer Data Science job openings:
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Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER