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Volunteer Data Science Student Jobs in California

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

DEUNA

Data Science intern

San Francisco, CA

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... This in-person internship offers a small cohort of students the opportunity to work directly ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... This in-person internship offers a small cohort of students the opportunity to work directly ...

US Department of the Air Force

DATA SCIENTIST

Edwards, CA · On-site

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... student and social). Volunteer work helps build critical competencies, knowledge and skills that ...

Atlassian

Principal Data Scientist

San Francisco, CA · On-site +1

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

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Volunteer Data Science Student information

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 California?

The most popular types of Data Science Student jobs in California are:

What are popular job titles related to Volunteer Data Science Student jobs in California?

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

What job categories do people searching Volunteer Data Science Student jobs in California look for?

The top searched job categories for Volunteer Data Science Student jobs in California are:

What cities in California are hiring for Volunteer Data Science Student jobs?

Cities in California with the most Volunteer Data Science Student job openings:

Volunteer Data Science Student jobs near you

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted 8 days ago

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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