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Volunteer Data Science Apprenticeship Jobs (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

$143K - $187K/yr

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

Sr. Analyst, Data Science

Fort Mill, SC · On-site

$85K - $143K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85K - $143K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Sr. Analyst, Data Science

Austin, TX · On-site

$85K - $143K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

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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
What cities are hiring for Volunteer Data Science Apprenticeship jobs? Cities with the most Volunteer Data Science Apprenticeship job openings:
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:
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.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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