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Volunteer Data Science Student Jobs in California

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 ...

Quizlet, Inc

Staff Data Scientist

San Francisco, CA · On-site

$192K - $252K/yr

... science with machine learning to personalize and enhance the learning experience for students ... volunteer programs of choice We strive to make everyone feel comfortable and welcome! We work to ...

New

Farmers Group Inc.

Data Scientist

Woodland, CA · On-site

$125 - $150/hr

Enjoy competitive benefits, take part in meaningful volunteer projects, and help shape the future ... Specific duties include: execute on moderate business challenges involving data science, succeed in ...

New

Farmers Group Inc.

Data Scientist

Los Angeles, CA · On-site

$125 - $150/hr

Enjoy competitive benefits, take part in meaningful volunteer projects, and help shape the future ... Specific duties include: execute on moderate business challenges involving data science, succeed in ...

New

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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

Principal Data Scientist

Atlassian

San Francisco, CA • On-site, Remote

Other

Posted 24 days ago

Job description

Overview
As a Principal Data Scientist on the Global Experiences Data Science team, you'll sit at the intersection of cutting-edge analytics and Atlassian's most customer-facing products. Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems - shaping how millions of users experience Atlassian's suite of products.
This is a high-impact, high-visibility role where you'll lead the full data science lifecycle: from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders. You'll be a force multiplier for the team - elevating the craft of data science while partnering closely with Product, Engineering, and Design to drive meaningful outcomes at scale.
Responsibilities
  • Define and drive the data science strategy for your product area, translating ambiguous business problems into rigorous analytical frameworks and measurable outcomes
  • Lead end-to-end development of ML models and statistical analyses - from problem framing and data acquisition through experimentation, deployment, and ongoing evaluation
  • Partner with Product, Engineering, and Design to embed data-driven decision-making into the product development lifecycle
  • Own experimentation infrastructure and methodology for your domain, including A/B test design, power analysis, and interpretation of results at scale
  • Identify high-impact opportunities through exploratory analysis, surfacing insights that influence roadmap prioritization and business strategy
  • Serve as the technical authority for data science within your team - setting standards for modeling approaches, code quality, and analytical rigor
  • Mentor and develop junior and mid-level data scientists; contribute to hiring, onboarding, and capability-building across the broader DS organization
  • Communicate findings and recommendations clearly to senior stakeholders and executives, translating complex analyses into actionable narratives
  • Collaborate cross-functionally to define metrics frameworks, north star metrics, and guardrail metrics for product and business health
  • Drive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teams

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
Qualifications
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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