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Volunteer Data Science Apprenticeship Jobs (NOW HIRING)

OneMain Financial

Manager, Data Science

Charlotte, NC · Hybrid

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data ... Paid volunteer time (3 days per year, prorated based on start date) OneMain Holdings, Inc. is an ...

OneMain Financial

Manager, Data Science

Charlotte, NC · On-site

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data ... Paid volunteer time (3 days per year, prorated based on start date) OneMain Holdings, Inc. is an ...

Gap Inc.

Senior Analyst, Data Science

Coppell, TX

$169K - $222K/yr

About the role Build, validate, deploy, and maintain Data Science and Optimization models ... Employees can take up to five "on the clock" hours each month to volunteer at a charity of their ...

Jobs in Your Community

Data Scientist

Suitland, MD

$102K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

US Department of Commerce

Data Scientist

Suitland, MD

$102K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Inroads

OR · On-site

$85K/yr

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers ... Paid personal and volunteer leave * 13 paid holidays * 15 weeks paid parental leave * Professional ...

Inroads

Manager I, Data Science

Washington, DC · On-site +1

$85K/yr

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers ... Paid personal and volunteer leave * 13 paid holidays * 15 weeks paid parental leave * Professional ...

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Volunteer Data Science Apprenticeship information

Is 30 too late for data science?

Age is not a barrier to entering a data science apprenticeship, as many programs value skills and motivation over age. Individuals can start learning data analysis, programming, and machine learning at any age, and prior experience in related fields can be advantageous. Success depends on dedication, acquiring relevant skills, and building a portfolio, regardless of age.

Can I earn money by volunteering?

A Volunteer Data Science Apprenticeship typically does not provide monetary compensation, as it is designed for skill development and experience. However, some programs may offer stipends or cover expenses; it is important to check the specific program details. Volunteering usually focuses on gaining practical skills, networking, and contributing to projects rather than earning income.

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

AspectVolunteer Data Science ApprenticeshipData Analyst
Required CredentialsBasic knowledge of data analysis, programming, and statistics; often open to beginnersTypically requires a degree in data-related fields; some certifications preferred
Work EnvironmentVolunteer settings, non-profits, or training programs; often part-time or project-basedCorporate, agency, or consulting environments; full-time or part-time roles
Employer & Industry UsageNon-profit organizations, educational programs, or training initiativesBusinesses, government agencies, and consulting firms across industries

The Volunteer Data Science Apprenticeship provides hands-on experience for beginners in a volunteer setting, focusing on learning and skill development. In contrast, Data Analysts typically hold formal education and work in professional environments analyzing data to inform business decisions. The apprenticeship is ideal for those starting out, while data analyst roles are more advanced and require specific credentials.

Is 40 too late to become a data scientist?

The Volunteer Data Science Apprenticeship and similar roles do not have age restrictions, and many data scientists start their careers later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned at any age through online courses, bootcamps, or self-study.

Can I get a data scientist job with no experience?

Entry-level data scientist roles often require some experience with programming languages like Python or R, data analysis, and machine learning tools. While it is possible to start with internships, apprenticeships, or certifications to build skills, most employers prefer candidates with relevant experience or demonstrated projects.
More about Volunteer Data Science Apprenticeship jobs
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What are the most commonly searched types of Data Science Apprenticeship jobs? The most popular types of Data Science Apprenticeship jobs are:
What states have the most Volunteer Data Science Apprenticeship jobs? States with the most job openings for Volunteer Data Science Apprenticeship jobs include:
What job categories do people searching Volunteer Data Science Apprenticeship jobs look for? The top searched job categories for Volunteer Data Science Apprenticeship jobs are:
Volunteer Data Science Apprenticeship jobs near you
Infographic showing various Volunteer Data Science Apprenticeship job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Scientist

Data Scientist

US Department of Homeland Security

Washington, DC • On-site

$74K/yr

Other

Posted 25 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

83rd of 276 rated public sector bodies

Job description

Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations:
  • Indianapolis, IN
  • Minneapolis, MN
  • Washington, D.C.
Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection.Qualifications:Basic Requirements:

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 in paragraph A above, plus additional education or appropriate experience.

AND
You qualify for this position if you meet the basic requirement listed above and possess the experience as described below:
Experience: You qualify for the GS-11 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Participating in the use of data science techniques to assist in processing and extracting insights from structured and unstructured data using statistical software and programming languages such as R or Python.
  • Assisting with identifying and addressing statistical problems in data collection and summarization processes by following established procedures.
  • Supporting the creation of basic dashboards for analytical and data-related projects using tools such as Power BI, Tableau, or Qlik.
  • Utilizing foundational data science concepts, including introductory machine learning or statistical algorithms, to assist in producing insights that inform organizational activities.
  • Assisting in the preparation of briefings, presentations, and technical reports to communicate technical and analytical findings to audiences with varying technical backgrounds.

Experience: You qualify for the GS-12 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Assisting in the application of data science techniques to process and extract insights from structured and unstructured data using statistical software and programming languages such as R or Python.
  • Supporting the resolution of statistical problems encountered in data collection and summarization processes by applying established methods and recommending improvements.
  • Contributing to the development and maintenance of dashboards for analytical and data related projects using tools such as Power BI, Tableau, or Qlik, with oversight from higher-level analysts.
  • Applying established data science concepts, including basic machine learning or statistical algorithms, to generate insights that support organizational decision making.
  • Preparing and delivering technical and analytical findings through briefings, presentations, and technical reports to audiences with varying levels of technical expertise, with review by senior staff.

Experience: You qualify for the GS-13 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Applying data science techniques to process and extract insights from structured and unstructured data using statistical software and programming languages such as R or Python.
  • Solving statistical problems that occur in data collection and summarization processes.
  • Creating dashboards, using solutions such as Power BI, Tableau, or Qlik, on analytical and data-related projects.
  • Leveraging advanced data science concepts, including machine learning or statistical algorithms to produce insights that improve organizational outcomes and decision making.
  • Communicating technical and analytical findings through briefings, presentations, and technical reports to individuals with varying levels of technical expertise.

NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (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. You will receive credit for all qualifying experience, including volunteer experience.
You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 06/10/2026.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Background Investigation: U.S. Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity. During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances. For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers
Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years. If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions:
  • Working for the U.S. Government as a federal civilian or as a member of the military
  • A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government
  • Participation in a study abroad program sponsored by a U.S. affiliated college or university
  • Working as a contractor, intern, consultant or volunteer supporting the U.S. government
Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment. Current and former federal employees may be required to serve or complete a probationary period.Education:Please see the Qualifications and Required Documents sections for more information if education is applicable to this position.Employment Type: OTHER

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About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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