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Part Time Data Science Jobs in Cary, NC (NOW HIRING)

These internships help build the foundation for a future in research, data science, evaluation, design, education, or community engagement. Additional Information * Positions are part-time * ...

RESEARCH TECHNICIAN I

Durham, NC · On-site

$18 - $26.49/hr

Appropriately and promptly escalate data quality or equipment concerns to a supervisor. Operate ... This part-time position is not benefit-eligible and will continue subject to funding. Be You.

... Part-Time Temporary Hours per week 20 Work Schedule Position Location North Carolina, US Hiring ... data analysis, and preparation of scientific reports (papers, posters). The research assistant ...

... Part-Time Temporary Hours per week 20 Work Schedule Position Location North Carolina, US Hiring ... data analysis, and preparation of scientific reports (papers, posters). The research assistant ...

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Part Time Data Science information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
What are the most commonly searched types of Data Science jobs in Cary, NC? The most popular types of Data Science jobs in Cary, NC are:
What are popular job titles related to Part Time Data Science jobs in Cary, NC? For Part Time Data Science jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Cary, NC look for? The top searched job categories for Part Time Data Science jobs in Cary, NC are:
What cities near Cary, NC are hiring for Part Time Data Science jobs? Cities near Cary, NC with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Cary, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Science Librarian

$77K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

455th of 612 rated colleges and universities


Job description

Posting Details
Posting Information
Posting Number
PG194690EP
Internal Recruitment
No
Working Title
Data Science Librarian
Anticipated Hiring Range
$77,000 minimum
Work Schedule
University Business hours are Monday - Friday 8AM - 5PM. The Libraries supports flexible work arrangements based on departmental and operational needs. This position will require frequent onsite work. Exempt position.
Job Location
Raleigh, NC
Department
Libraries
About the Department
Join the NC State University Libraries and help us create adventurous, innovative services and library spaces that delight students, faculty, and researchers. The award-winning James B. Hunt Jr. Library on NC State's Centennial Campus, offers access to advanced technologies that are enabling revolutionary ways to see and use information. Capturing NC State's spirit of innovation in education and research, the Hunt Library is recognized as one of the world's most creative and inspirational learning and collaborative spaces and a model for "the library of the future." The D. H. Hill Jr. Library, serving the main campus, combines the best of tradition and innovation, housing special collections and a beautiful gallery alongside vibrant, experiential spaces for making, digital media creation, data analysis and visualization, and collaboration. Three branch libraries focus on design, natural resources, and veterinary medicine.
The NC State University Libraries invites applications and nominations for the position of Data Science Librarian. The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate student assistants) helps students and other researchers develop critical data science and visualization skills through expert consultation, workshops, and classroom instruction. The department provides support for a wide range of data lifecycle activities including data collection, discovery, access, evaluation, cleaning, preprocessing, transformation, modeling, analysis, geospatial techniques, and visualization. The department is the service owner for the Dataspace in the Hunt Library and the Data Experience Lab in the Hill Library, community-oriented spaces offering specialized computing, expert assistance, and services supporting data science and visualization. DSS collaborates with others in the Libraries and with NC State's Data Science and AI Academy (DSA), a university-wide effort to meet the university's growing needs for data science research, education, and expertise.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Propositionand learn more about what makes NC State the best place to learn and work for everyone.
What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
The Data Science Librarian provides expert consultative support, workshop-based training, and course-integrated instruction for students, faculty, and researchers in the areas of data science and visualization. The position leads DSS's support around tabular data, spreadsheet software and tools, and data visualizations, while also contributing to other data science topics aligned with their skills and patron needs. They design, develop, and deliver workshops, both as part of an open workshop series and in collaboration with faculty for course-integrated instruction. They engage with faculty, campus groups, and external partners to support the university's data and visualization needs, and conduct relevant outreach and participate in sponsoring events. The position collaborates with colleagues and faculty on data-related initiatives and projects, contributes to departmental projects and initiatives, and may mentor or supervise graduate student consultants in their skill areas.
The position deeply considers how their approach to their daily work reflects and advances the Libraries' Strategic Plan, creating an environment and community that is welcoming for both patrons and colleagues alike. The position participates in library planning and serves on library-wide committees, task forces, and teams. Librarians are expected to be active professionally and to contribute to developments in the field. This position reports to the Department Head, Data Science Services.
This position is based in North Carolina. This position is eligible for flexible hours with a hybrid work environment. This position will require frequent onsite work.
NC State promotes an integrated approach to problem solving that transforms lives and provides leadership for social, economic, and technological development across North Carolina and around the world. NC State's land grant mission of teaching, research and service is dedicated to the service of North Carolina and its people. Applicants are encouraged to review the institution's mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university.
Other Responsibilities
Other duties as assigned.
Qualifications
Minimum Education and Experience
  • ALA-accredited MLS, MIS, or other relevant, advanced degree

Other Required Qualifications
Applicants are encouraged to think broadly about and communicate how their skills and experiences transfer to the qualifications below, including in ways that may not be obvious, such as how non-library-specific skills and experiences speak to the position responsibilities. We strongly encourage and welcome applicants with a variety of backgrounds, interests, and experiences to apply for this position.
  • Proficiency with concepts for working with tabular data, such as data generation, preparation, analysis, and demonstrated experience with one or more of the following tools for working with spreadsheets and tabular data, such as SPSS, SAS, JMP, GoogleSheets and/or STATA
  • Proficiency with concepts for data visualization, including conceptualizing, designing, and building effective data visualizations for research presentations and publications
  • Ability to teach workshops, instruction, or other types of training sessions about preparing and visualizing data, including sessions based in Google Sheets
  • Demonstrated ability to learn and apply new technical skills and tools; evidence of ongoing, self-directed learning
  • Interest in providing services that support students, faculty, and staff in developing their data skills
  • Ability to serve and collaborate with a large user community reflecting a variety of backgrounds and disciplines
  • Ability to foster an environment of belonging and well-being
  • Ability to communicate clearly and knowledgeably through a variety of mediums; ability to represent the Libraries to university and external audiences
  • Demonstrated ability to collaborate effectively and work in a team environment
  • Evidence of ability for ongoing professional development and contribution to the library profession

Preferred Qualifications
It is not required that candidates meet any of the preferred qualifications to be considered for this position. The following skills represent some of the areas in which this position could potentially grow and focus, based on the incumbent's background and interests.
  • Demonstrated knowledge and evidence of application of one or more specific data approaches, such as: advanced data visualization; survey design and methodology; qualitative analysis; statistics; or others
  • Proficiency with one or more programming languages for data transformation, analysis, and visualization, such as R, Python, etc.
  • Experience providing consultation or developing and delivering instruction, workshops, or training for data topics

Required License(s) or Certification(s)
N/A
Valid NC Driver's License required
No
Commercial Driver's License required
No
Recruitment Dates and Special Instructions
Job Open Date
06/02/2026
Anticipated Close Date
Open Until Filled
Special Instructions to Applicants
Please complete the required application fully and attach a cover letter, resume, and contact information for four (4) current professional references.
Position Details
Position Number
00112010
Position Type
Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)
1.0
Appointment
Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event
Department ID
250101 - Libraries
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887