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Volunteer Data Science Jobs (NOW HIRING)

The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative ... Through our company-wide volunteering and giving platform, you can donate, start fundraisers ...

The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative ... Through our company-wide volunteering and giving platform, you can donate, start fundraisers ...

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.

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 ...

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 ...

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Volunteer Data Science information

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$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:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Volunteer Data Science jobs? States with the most job openings for Volunteer Data Science jobs include:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Company Description

Hi there! We're Razorfish. We've been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What's different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com.

Job Description

We are seeking a highly skilled and technically proficient Director of Data Science to lead and scale our data science team. This individual will be responsible for driving complex modeling efforts, designing robust data pipelines, and delivering high-impact analytical solutions that influence business strategy. This role is ideal for a hands-on leader with deep expertise in machine learning, statistics, and data infrastructure.

Responsibilities
  • Team Leadership & Strategy
    • Lead and mentor a multidisciplinary team of data scientists and ML engineers.
    • Partner cross-functionally with engineering, product, analytics, and business stakeholders to identify opportunities for data-driven innovation within an agile environment.
    • Uncover deep insights from data and effectively connect them to user behaviors through compelling storytelling.
  • Technical Execution
    • Architect, deploy, and validate advanced machine learning models and algorithms for prediction, optimization, segmentation, and recommendation.
    • Review and guide experimentation, statistical modeling, and A/B testing across products and initiatives.
    • Ensure scalable deployment of ML solutions into production in collaboration with engineering teams.
  • Operational Excellence
    • Define and uphold best practices in model development, versioning, monitoring, and reproducibility.
    • Implement frameworks for model governance and performance tracking.
    • Contribute to building a modern data science stack that supports experimentation, feature engineering, and model lifecycle management.
  • Data Infrastructure & Collaboration
    • Guide the development of robust data pipelines, feature stores, and model-serving architectures.
    • Advocate for sound data management and partner with data engineering on upstream data quality and infrastructure needs.
  • Thought Leadership
    • Stay abreast of emerging techniques in AI/ML and evaluate applicability to our business challenges.
    • Cultivate a culture of curiosity, experimentation, and scientific rigor.
Qualifications
  • 8+ years in data science or machine learning roles, with at least 3-5 years leading teams.
  • Degree in Computer Science, Statistics, Mathematics, or a related technical field (MS/PhD preferred, or undergraduate degree with relevant work experience).
  • Deep experience with Python, SQL, and modern ML libraries (e.g., scikit-learn, statsmodels, TensorFlow, PyTorch).
  • Proven ability to scale ML solutions in production environments (e.g., via cloud platforms like AWS/GCP).
  • Experience in digital product development, particularly with web or app platforms, demonstrating an ability to effectively contribute to the lifecycle of digital products.
  • Strong understanding of experimental design, causal inference, and statistical testing.
  • Exceptional communication skills with the ability to translate technical work into business impact.
Additional Information

The Power of One starts with our people! To do powerful things, we offer powerful resources.

Our best-in-class wellness and benefits offerings include:Paid Family Care for parents and caregivers for 12 weeks or moreMonetary assistance and support for Adoption, Surrogacy and FertilityMonetary assistance and support for pet adoptionEmployee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balanceTuition AssistancePaid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and moreMatching Gifts programsFlexible working arrangements'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.

Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $135,375.00 - USD $216,684.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/1/2028.Employment Type: FULL_TIME