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Volunteer Data Science Jobs (NOW HIRING)

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 ...

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 ...

Adswerve, Inc

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

College degree in Computer Science, Information Science or related field preferred - OR ... Voluntary Life Insurance (Employee/Spouse/Child) * Employer Paid Short & Long Term Disability

Adswerve, Inc

Data Scientist 1

$95K - $115K/yr

College degree in Computer Science, Information Science or related field preferred - OR ... Voluntary Life Insurance (Employee/Spouse/Child) * Employer Paid Short & Long Term Disability

Rutgers University

$2.7K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred ... Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers ...

US Department of the Air Force

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

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Volunteer Data Science information

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$16.5K

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$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.
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Volunteer Data Science jobs near you
Data Science & Optimization Manager

Data Science & Optimization Manager

Crane Worldwide Logistics

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago

Crane Worldwide Logistics rating

7.8

Company rating: 7.8 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

At Crane you'll join a fast-growing data organization at a global company operating at the intersection of logistics, optimization, and algorithmic decision making. We're a 3rd-party logistics provider generating massive volumes of data across every category and latency, and need a leader to drive our investment in building the quantitative foundations to manage our core business algorithmically. You will lead a team of data scientists and analysts, owning both the people and the technical direction of data science & optimization at Crane.
You'll manage a team of data scientists, set technical standards, and partner closely with business stakeholders to make sure our optimization and forecasting projects are solving the right problems the right way. Your team's work will span pricing, finance, and marketing and growth, with a heavy focus on Operations Research-style optimization. This team is focused on higher level business goals and more consistent business impact than simple truck routing or churn prediction problems. We're a remote-first team, based out of Houston, Texas.
As a Data Science & Optimization Manager:
Team leadership and stakeholder partnership
  • You'll work directly with business stakeholders to understand problems, shape measurement and experimental design approaches, and align data science projects with business goals
  • You'll collaborate with other technical functions (Data Engineering, BI Engineering, etc.)
  • You'll ensure that the team follows a well-structured planning process, keeping priorities transparent and execution focused

Technical oversight
  • You'll set the standard for how the team works: code reviews, version control discipline, automation, and pragmatic choices about tooling and approaches

  • You'll bring common sense to the technical project lifecycle and modeling choices, always favoring simplicity and reliability

  • You'll guide the team across optimization, experimentation, statistical analysis, forecasting, and ML projects and drive the appropriate level of rigor & care

Strategy
  • You'll partner with engineering and business leadership to shape our vision for an algorithmic logistics business

  • You'll connect technical direction (modeling approaches, architecture, and technology selection) to our strategy over multi-year planning horizons

Job Requirements:
  • Technical degree in Industrial Engineering, Mathematics, Operations Research, or similar field

  • Track record of successfully delivering mathematical optimization/operations research/industrial engineering projects

  • Experience managing and building practical business forecasting projects

  • Strong statistical fundamentals

  • Experience with Python, Julia, R or similar programming languages in a team development context

Ideal:
  • Experience solving problems in logistics

  • Comfortable with software engineering fundamentals

  • Experience deploying managing solutions as applications and endpoints

Physical Requirements:
  • Talking, hearing and using hands to operate a computer keyboard, mouse and other computer components
  • Sitting for extended periods of time
  • Vision abilities required by this job include close vision and the ability to adjust focus

WHY SHOULD YOU WORK FOR CRANE?
At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.
We offer:
  • Quarterly Incentive Plan
  • 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
  • Excellent Medical, Dental and Vision benefits
  • Tuition Reimbursement for education related to your job
  • Employee Referral Bonuses
  • Employee Recognition and Rewards Program
  • Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
  • Employee Discounts
  • Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.
Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We maintain a drug-free workplace and perform pre-employment substance abuse testing.
This position requires the final candidate to successfully pass an E-Verify Check.
More Information: http://www.dhs.gov/e-verify
Company benefits are contingent upon meeting eligibility requirements and plan conditions.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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