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Volunteer Computer Data Scientist Jobs (NOW HIRING)

SAS

Data Scientist (Computer Vision)

Cary, NC · On-site

As a Data Scientist, you will: * Design, develop, and evaluate machine learning and computer vision ... S. Winter Wellness Break between December 25 and January 1. * Volunteer Time Off, parental leave ...

Sentar

Data Scientist 3

Fort George G Meade, MD · On-site

This role involves leveraging your computer science expertise to develop and sustain analytics ... Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options

Brewer Science, Inc.

Data Scientist

Rolla, MO

Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience with SQL or similar language preferred and * Intermediate Python skills or similar language ...

Crane Worldwide Logistics

Data Scientist

Houston, TX · On-site

Bachelor's degree in computer science, statistics, applied math, data science, or a related field ... Paid Volunteer Time to support a cause that is close to your heart and contributes to our ...

Numerator

Data Scientist

Chicago, IL · On-site

... Statistics, Computer Science, Economics, or another quantitative field * 2-5 years of industry ... Volunteer time off and charitable donation matching. * Strong support for career growth, including ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience with SQL or similar language preferred and * Intermediate Python skills or similar language ...

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How much do volunteer computer data scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for volunteer computer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Computer Data Scientist vs Volunteer Data Analyst?

AspectVolunteer Computer Data ScientistVolunteer Data Analyst
Required CredentialsBasic programming skills, knowledge of data science toolsData analysis skills, proficiency in Excel, SQL
Work EnvironmentCollaborative projects, nonprofit or research settingsData interpretation, reporting in nonprofit or community projects
Employer & Industry UsageResearch institutions, nonprofits, tech startupsNonprofits, community organizations, small businesses

Volunteer Computer Data Scientists and Volunteer Data Analysts often share similar skills like data handling and analysis. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are vital in nonprofit and research settings, but data scientists usually require more technical expertise in programming and machine learning.

What cities are hiring for Volunteer Computer Data Scientist jobs? Cities with the most Volunteer Computer Data Scientist job openings:
What are the most commonly searched types of Computer Data Scientist jobs? The most popular types of Computer Data Scientist jobs are:
What states have the most Volunteer Computer Data Scientist jobs? States with the most job openings for Volunteer Computer Data Scientist jobs include:
Volunteer Computer Data Scientist jobs near you
Data Scientist (Computer Vision)

Data Scientist (Computer Vision)

SAS

Cary, NC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Job Description
Data Scientist- Hybrid, Cary, North Carolina
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The Applied AI & Modeling (AAIM) team is looking for a Data Scientist to help advance a multi-phase applied research and development effort focused on computer vision and machine learning for high-impact real-world data. Our team works at the intersection of advanced modeling, scalable AI systems, and domain-driven problem solving, partnering closely with engineers and subject-matter experts to turn emerging research into practical, measurable outcomes.
This is an exciting opportunity to build and evaluate state-of-the-art vision models while working on problems that demand both technical depth and rigor. You will contribute to the evolution of existing prototypes into more robust, scalable solutions, gaining hands-on experience with 3D vision, attention mechanisms, and modern deep learning architectures in a collaborative environment. This role is well-suited for someone who wants to grow as an applied data scientist, learn how advanced AI systems are developed responsibly, and see their work directly influence the next stage of real-world AI innovation.
As a Data Scientist, you will:
  • Design, develop, and evaluate machine learning and computer vision models to solve complex, real-world problems using large and diverse datasets.
  • Apply and extend modern deep learning techniques (e.g., convolutional models, 3D vision, attention mechanisms, transformer-based approaches) to improve model accuracy, robustness, and scalability.
  • Analyze model performance using appropriate quantitative metrics, identify failure modes, and iterate on solutions based on experimental findings.
  • Collaborate with fellow data scientists, software engineers, and cross-functional partners to integrate models into end-to-end analytical workflows.
  • Contribute to well-documented, reproducible modeling pipelines and clearly communicate insights, tradeoffs, and results to technical and non-technical audiences.
  • Ensure all applicable security policies and development processes are followed to support the organization's secure and responsible software development goals.
  • Embrace curiosity, passion, authenticity, and accountability - our values that guide how we work, learn, and innovate together.

Required qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field with a minimum of 3 years of relevant professional experience; or PhD degree in a related quantitative field, with no prior professional work experience required.
  • Demonstrated experience applying computer vision and machine learning techniques to real-world problems, including tasks such as image analysis, feature extraction, model training, and performance evaluation.
  • Hands-on experience with at least one modern deep learning or computer vision framework (e.g., Python-based frameworks commonly used for CNN- or vision-based modeling).
  • Experience working with real-world datasets, including data preparation, model evaluation using quantitative metrics, and result interpretation.
  • Ability to analyze results, troubleshoot models, and clearly communicate technical findings to both technical and non-technical audiences.
  • An equivalent combination of related education, training, and experience may be considered in place of the above qualifications.

Additional competencies, knowledge and skills
Key competencies
  • Analytical Thinking - Ability to break down complex, ambiguous problems into structured analytical tasks, evaluate alternative approaches, and use data to support sound technical decisions.
  • Collaboration - Ability to work effectively with cross-functional partners, including data scientists, engineers, and domain experts, contributing constructively in a team-based environment.
  • Learning Agility - Willingness and ability to quickly learn new methods, tools, and domains, and apply new knowledge to evolving technical challenges.

Additional skills and experience (nice to have)
  • Experience with computer vision techniques for image segmentation, detection, or classification.
  • Exposure to 3D modeling, such as 3D convolutional networks or multi-dimensional image analysis.
  • Familiarity with attention mechanisms or transformer-based vision models.
  • Experience working in collaborative research and innovative environments.

World-class benefits
Highlights include...
  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

You are welcome here.
At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
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