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Part Time Data Science Jobs in Michigan (NOW HIRING)

Information Systems Intern

Troy, MI · On-site

$14.25 - $19/hr

... a part-time or full-time basis pending class schedule. Please note that this position is not ... Currently a student pursuing a Bachelor's Degree in Computer Science, Software Engineering, Data ...

Information Systems Intern

Troy, MI · On-site

$14.25 - $19/hr

... a part-time or full-time basis pending class schedule. Please note that this position is not ... Currently a student pursuing a Bachelor's Degree in Computer Science, Software Engineering, Data ...

... part-time Administrative Assistant to join our team. Our diverse and innovative culture includes technology wizards, dedicated support teams, data scientists, creative artists, and behavior change ...

... part-time Administrative Assistant to join our team. Our diverse and innovative culture includes technology wizards, dedicated support teams, data scientists, creative artists, and behavior change ...

Part time - Technician I Labs - Exposures Lab

Ann Arbor, MI · On-site

$18.50 - $24.75/hr

Prepare all records (electronic data, folders and forms) in a timely, thorough and neat manner ... Associate's degree in a physical science or equivalent laboratory experience. * Good organization ...

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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 Michigan? The most popular types of 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:
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

Re-posted 2 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.