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Part Time F1 Data Science Jobs (NOW HIRING)

Data Science Analyst

Phoenix, AZ · On-site

$99.07K - $148.62K/yr

... Part Time Hours/Pay Period 20 Schedule Details Schedule will vary - On-site expectations and ... experience in data science will be considered. The preferred candidate will possess a Master ...

UH Hilo, Hilo, HI Job Type: Part-Time Temporary Job Number: 2026-01086 Department: University of ... Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ...

Data Science Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Join our team as a Mgr Data Science. Job Summary The Manger of Data Science will lead the ...

Senior Manager, Data Science

San Francisco, CA · On-site +1

$122.40K - $228K/yr

Senior Data Scientist This is ideally a hybrid role but open to remote. Role Overview We are ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

$2.78K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

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Part Time F1 Data Science information

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$37.5K

$122.7K

$196.5K

How much do part time f1 data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for part time f1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time F1 Data Science professional, and why are they important?

To thrive as a Part Time F1 Data Science professional, you need strong statistical analysis, data modeling, and programming skills (typically in Python or R), along with a relevant degree or coursework in data science or a related field. Familiarity with data visualization tools (such as Tableau or Matplotlib), machine learning frameworks, and motorsport data systems like telemetry software is also essential. Critical thinking, effective communication, and adaptability help you collaborate with engineering teams and translate data insights into actionable strategies. These skills are crucial for delivering impactful data-driven decisions that optimize race performance and support team objectives in a fast-paced environment.

What are some common challenges faced by part-time F1 Data Science professionals, and how can they effectively manage their workload?

Part-time F1 Data Science professionals often encounter challenges such as balancing multiple projects, adapting to the fast-paced nature of Formula 1, and ensuring they remain integrated with the full-time team. Effective communication and proactive time management are essential to stay aligned on project goals and deadlines. Leveraging collaborative tools and maintaining regular check-ins with engineers and analysts can help ensure their insights are both timely and actionable, despite limited hours.

What is a Part Time F1 Data Science job?

A Part Time F1 Data Science job involves analyzing and interpreting data related to Formula 1 racing on a part-time basis. Professionals in this role use statistical methods and machine learning to extract insights from race data, telemetry, and simulations to help teams improve performance and strategy. The part-time nature allows for flexible hours, often suitable for students or those with other commitments. This position may involve working remotely or on-site, depending on the employer.

What is the difference between Part Time F1 Data Science vs Part Time F1 Data Analysis?

AspectPart Time F1 Data SciencePart Time F1 Data Analysis
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of programming languages like Python or RDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or automotive industriesBusiness-focused, reporting, and decision-making in various industries including automotive
Employer & Industry UsageTech companies, automotive teams, research institutionsBusiness departments, marketing, finance, automotive companies

Part Time F1 Data Science involves advanced analytics, machine learning, and programming skills, focusing on developing models and algorithms. In contrast, Part Time F1 Data Analysis emphasizes interpreting data, creating reports, and supporting decision-making. Both roles require strong analytical skills but differ in technical complexity and focus areas.

More about Part Time F1 Data Science jobs
What cities are hiring for Part Time F1 Data Science jobs? Cities with the most Part Time F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
Infographic showing various Part Time F1 Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Librarian

$77K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

385th of 532 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

Sourced by ZipRecruiter

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