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Part Time Data Science Jobs in Michigan (NOW HIRING)

City of Ann Arbor

Water Quality Temp

Ann Arbor, MI

$19.63/hr

Water Quality Temp Starting hourly rate: $19.63 Schedule: Part-time (16-29 hours per week) for a ... Ecology, Data Science, or related field • Previous experience in water treatment or water ...

A2

Water Quality Temp

Ann Arbor, MI

$19.63/hr

Water Quality Temp Starting hourly rate: $19.63 Schedule: Part-time (16-29 hours per week) for a ... Ecology, Data Science, or related field • Previous experience in water treatment or water ...

A2

Water Quality Temp

Ann Arbor, MI · On-site

$19.63/hr

Water Quality Temp Starting hourly rate: $19.63 Schedule: Part-time (16-29 hours per week) for a ... Ecology, Data Science, or related field • Previous experience in water treatment or water ...

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on site 4 days a week, part time * Availability to complete a 1 year internship * Basic Python or ...

IQVIA

Medtech Clinical Nurse Educator

Detroit, MI · On-site

$38.75 - $53/hr

We believein pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Huron-Clinton Metroparks

(Part Time) Interpreter

Shelby, MI · On-site

$16.17 - $18.80/hr

Ability to design science education programs that support the NGSS and Michigan Science Standards ... Personal computer including data base, scheduling, publishing, spreadsheet, power point, and word ...

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How much do part time data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for part time data science in Michigan is $41.21, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $61.22 per hour, depending on experience, location, and employer.

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 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.

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.

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.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Part Time Data Science jobs in Michigan? For Part Time Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Michigan look for? The top searched job categories for Part Time Data Science jobs in Michigan are:
What cities in Michigan are hiring for Part Time Data Science jobs? Cities in Michigan with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Chair of Computer and Information Science (CIS)

Chair of Computer and Information Science (CIS)

University of Michigan-Dearborn

Dearborn, MI • On-site

Full-time, Part-time

Posted 20 days ago

Job description

Description
The College of Engineering and Computer Science at the University of Michigan-Dearborn is seeking a visionary leader to serve as Chair of its Department of Computer and Information Science (CIS), with a targeted starting date of September 1, 2025. We are looking for candidates who will not only advance their field but also mentor and inspire a diverse student body and faculty team. As Chair, you will play a pivotal role in advancing innovative research and teaching practices and ensuring that the department is a welcoming place where everyone has the opportunity to succeed.
Join us in shaping a future where diverse perspectives drive excellence and innovation in engineering and computer science education. If you are a visionary leader ready to make a significant impact, we encourage you to apply.
Over the past five years, the department has seen substantial enrollment growth, with over 800 undergraduate and 440 master's students and about 20 Ph.D. students enrolled for Winter 2025. The department offers ABET-accredited B.S. degrees in Computer and Information Science and Software Engineering, as well as two (not yet accredited) B.S. degrees in Cybersecurity and Information Assurance, and Data Science. Additionally, the department provides master's programs in Computer and Information Science, Software Engineering, Artificial Intelligence, Cybersecurity and Information Assurance, and Data Science. The department also offers a Ph.D. in Computer and Information Science administered through the University of Michigan Rackham Graduate School. Currently, the department has 20 tenured or tenure-track faculty members (including 8 assistant professors), 2 full-time lecturers, and 13 part-time lecturers. Two new assistant professors and a full-time lecturer are expected to join the department in Fall 2025. The faculty's research expertise includes areas such as networking, security, data management, data science, artificial intelligence, and software engineering.
The College has embraced project-based learning as a cornerstone of its educational approach and has recently become a KEEN partner university, emphasizing the integration of entrepreneurial-minded learning into its curriculum.
Additional Information
The University of Michigan-Dearborn (UM-Dearborn) is one of the three campuses of the University of Michigan. UM-Dearborn, a comprehensive university offering high quality undergraduate, graduate, professional and continuing education to residents of southeastern Michigan, and attracts more than 8,100 students. Our faculty comes from respected universities and doctoral programs, are recognized for excellence in research and teaching, and are active in professional and academic service roles in their respective fields.
US News & World Report ranks UM-Dearborn #1 among regional public universities in the state of Michigan and #3 among regional public universities in the Midwest. Additionally, US News & World Report ranks UM-Dearborn #13 in Top Performers in Social Mobility. These rankings recognize our commitment to offering rigorous educational programs, coupled with a focus on student experience and success.
The University of Michigan-Dearborn is in historic Dearborn, MI, the heart of the U.S. automotive industry. The University of Michigan-Dearborn is dedicated to the goal of building a culturally diverse and pluralistic faculty committed to teaching and working in a multicultural environment. UM-Dearborn is an equal opportunity employer and encourages applications from women and minorities.
Qualifications
Candidates must have an earned doctorate in Computer Science or a closely related discipline, with a distinguished record in research, teaching, and visibility consistent with appointment as professor with tenure at the UM-Dearborn College of Engineering and Computer.
Our next leader will have demonstrated abilities in research and curriculum innovations, possess outstanding communication and interpersonal skills, and be capable of fostering a collaborative and respectful environment.
The selected candidate will be expected to advance the department's recent accomplishments in research and teaching, while serving as a champion for students, faculty, and staff, as well as a promoter of the visions of the department, college, and university.
Application Instructions
Review of applications will start immediately, with applications being reviewed continuously until the position is filled. Applications will remain confidential until on-campus interviews; we expect to conduct on-campus interviews in April 2025.

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