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Volunteer Data Science Student Jobs in Seattle, WA

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Collaborate with data and software engineers to support data science solutions through the entire ... Paid time off to volunteer. Divisions Maintenance Group is an equal opportunity employer. #J-18808 ...

Divisions Maintenance Group

Sr. Data Scientist

Seattle, WA · On-site

$110 - $140/hr

Partner with stakeholders to translate complex business problems into data science and advanced ... Paid time off to volunteer. Divisions Maintenance Group is an equal opportunity employer. #J-18808 ...

Unum UK

Data Scientist I

Home, WA

Student loan repayment options * Tuition reimbursement * Flexible work environments *All the ... Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred ...

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Volunteer Data Science Student information

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How much do volunteer data science student jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for volunteer data science student in Seattle, WA is $21.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $22.98 per hour, depending on experience, location, and employer.

What is a volunteer data science student?

Volunteer Data Science Students are individuals, often university students or recent graduates, who contribute their data analysis skills to organizations or projects without monetary compensation. Their work typically involves tasks such as data cleaning, statistical analysis, building predictive models, and data visualization to support non-profits, research groups, or community initiatives. Volunteering in this capacity allows students to gain practical experience, expand their professional network, and make a positive impact while developing in-demand technical skills.

What types of projects can a volunteer data science student expect to work on, and how do these projects support skill development?

As a Volunteer Data Science Student, you’ll typically assist with projects like data cleaning, exploratory data analysis, and creating visualizations for real-world datasets. These projects often support nonprofit or academic initiatives, offering you hands-on experience with tools like Python, R, or SQL under the guidance of experienced data scientists. This environment encourages learning best practices, collaborating with mentors, and building a tangible portfolio, all of which can be valuable for advancing toward professional data science roles.

What are the key skills and qualifications needed to thrive as a volunteer data science student, and why are they important?

To thrive as a Volunteer Data Science Student, you need a foundational understanding of statistics, data analysis, and programming languages like Python or R, often gained through coursework or self-study. Familiarity with data visualization tools, version control systems like Git, and basic machine learning libraries is typically expected. Strong problem-solving abilities, curiosity, and effective communication help you collaborate and share insights within a team. These skills enable you to contribute meaningfully to real-world data projects while building practical experience for future roles.

What is the difference between Volunteer Data Science Student vs Data Analyst?

AspectVolunteer Data Science StudentData Analyst
Required CredentialsBasic knowledge, often pursuing or completed relevant courseworkDegree in data-related field; certifications preferred
Work EnvironmentVolunteer projects, non-profit or educational settingsCorporate, agency, or consulting firms
Employer & Industry UsageNon-profit organizations, academic projectsBusiness, finance, healthcare, marketing
Search & Comparison IntentLearning, gaining experience, volunteering opportunitiesJob seeking, career advancement

The Volunteer Data Science Student typically engages in learning and gaining experience through volunteer projects, often in educational or non-profit settings. In contrast, a Data Analyst is a professional employed in various industries, performing data analysis as part of their career. While both roles involve working with data, the Volunteer Data Science Student is usually at an entry or learning stage, whereas the Data Analyst is a paid professional with more specialized skills and responsibilities.

What are the most commonly searched types of Data Science Student jobs in Seattle, WA?

The most popular types of Data Science Student jobs in Seattle, WA are:

What are popular job titles related to Volunteer Data Science Student jobs in Seattle, WA?

For Volunteer Data Science Student jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Volunteer Data Science Student jobs in Seattle, WA look for?

The top searched job categories for Volunteer Data Science Student jobs in Seattle, WA are:

Volunteer Data Science Student jobs near you
Infographic showing various Volunteer Data Science Student job openings in Seattle, WA as of August 2026, with employment types broken down into 38% Full Time, 49% Part Time, and 13% Temporary. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $45,299 per year, or $21.8 per hour.

LEAD DATA SCIENTIST

Keyport, WA • On-site

Naval Sea Systems Command > Home > Warfare Centers > NUWC Newport
See more jobs at Naval Sea Systems Command > Home > Warfare Centers > NUWC Newportexternal

$119K/yr

Full-time

Posted 5 days ago

Job description

You will serve as a LEAD DATA SCIENTIST in the TEST & EVALUATION DEPARTMENT of NAVUNSEAWARCENDIV KEYPORT WA.Qualifications:In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: As a professional scientist leading the design and development of data-centric software applications, including creating automated data pipelines, and developing and deploying applications within a cloud-based infrastructure.
Additional qualification information can be found from the following Office of Personnel Management website:
https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series AND https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.Education:Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess:
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;
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience.Employment Type: OTHER

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