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Data Science Graduate Jobs in Michigan (NOW HIRING)

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience. Unique Skills * Graduate degree in a related field, such as Computer Science or Data ...

Graduate Environmental Professional

Farmington Hills, MI · Hybrid

$73K - $96K/yr

At GHD we are looking for a new Graduate Scientist to join the Decom & Demolition team at our ... Data Collection and Analysis: Produce accurate reports for others by collecting data from a variety ...

$44K - $57K/yr

You'll develop students' practices skills of questioning, modeling, constructing explanations, data ... graduate cumulative GPA of 3.0 for graduates on or after 9/1/16, or 2.75 if you graduated prior to ...

You'll develop students' practices of questioning, modeling, constructing explanations, data ... graduate cumulative GPA of 3.0 for graduates on or after 9/1/16, or 2.75 if you graduated prior to ...

Showing results 21-40

Data Science Graduate information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data science graduate jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science graduate in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

What are the key skills and qualifications needed to thrive as a data science graduate?

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

What is the difference between Data Science Graduate vs Data Analyst?

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What cities in Michigan are hiring for Data Science Graduate jobs?

Cities in Michigan with the most Data Science Graduate job openings:

Infographic showing various Data Science Graduate job openings in Michigan as of September 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Assistant Professor in Cognitive Science and Artificial Intelligence

Dearborn, MI • On-site

University of Michigan-Dearborn
Colleges, Universities, and Professional Schools • 1 - 5K employees

Full-time

Re-posted 11 days ago


Key responsibilities

  • Teach courses in Cognitive Psychology, Research Design, or Statistics, and develop a new course focusing on AI and Cognitive Science.

  • Supervise undergraduate and graduate student research projects, honors theses, or master's theses in Psychology and CECS.

  • Engage in interdisciplinary research bridging psychology, cognitive science, and engineering, and leverage university AI resources to secure external research funding.


Job description

Description
Job Summary
The University of Michigan-Dearborn invites applications for a faculty position (Assistant Professor) in the area of Cognitive Science and Generative Artificial Intelligence (AI) beginning in August 2026. This is an on-site, full-time tenure-track university appointment, at the level of assistant professor. The position entails a joint appointment in the Psychology Discipline within the Department of Behavioral Sciences in the College of Arts, Sciences, and Letters (CASL) and the Department of Industrial and the Manufacturing Systems Engineering discipline within the College of Engineering and Computer Science (CECS).
AI has contributed to novel opportunities for innovative psychological research and university opportunities for new psychological applications. This rapidly developing research leverages generative AI models to study human cognition and develop applications to promote well-being, accelerate the pace of psychological research, and play a role in clinical services. Students are increasingly interested in AI education, and the next generation of graduates will require AI literacy, familiarity, and capacity to leverage AI within their professional roles.
We invite applications from researchers whose work bridges technical and psychological dimensions of AI systems and applications. While the area of specialization is open, the successful candidate will contribute to the development of interdisciplinary research that bridges psychology, cognitive science, and engineering. They must demonstrate potential for securing external funding for research projects. They will capitalize on the university's AI resources, such as the Dearborn Artificial Intelligence Research Center (DAIR), the Michigan Institute for Data Science (MIDAS), and the Advanced Research Computing (ARC). The successful candidate will also have opportunities for collaboration with AI Labs on campus.
Tenure track faculty teach a 2-2 course load. The successful candidate will be expected to develop a new course focusing on AI and Cognitive Science, and will teach courses in Cognitive Psychology, Research Design, or Statistics. The faculty member will teach one course annually for CECS focusing on Human-Centered AI, AI and Ethics, or Research Methods. The position also involves supervising undergraduate and graduate student research projects, honors theses, or master's theses in both Psychology and CECS.
Campus and Community Information
The University of Michigan-Dearborn was founded in 1959 on 200 acres of the original Henry Ford Estate in Dearborn, Michigan. As one of the three campuses of the University of Michigan, we serve over 8,000 students and provide high-quality undergraduate, graduate, professional, and continuing education programs that embody the prestige of the University of Michigan name. Our mission is rooted in commitment to the well-being and diversity of Metro Detroit, fostering a caring, dynamic, intellectual, and socially welcoming environment.
We distinguish ourselves by building and nurturing intentional, mutually beneficial partnerships with local industries, governments, and community organizations. Our faculty are recognized for their excellence in scholarship and teaching and are actively engaged in professional and academic service. UM-Dearborn offers ample opportunities for creative, collaborative research, practice-based learning, and community engagement through scholarly and educational partnerships.
Faculty have the privilege to work closely with their students, 47% of whom are first-generation college students, 46% Pell grant eligible, and 31% students of color. The average class size is 25 students, and 69% of classes have fewer than 30 students. U.S. News & World Report consistently ranks UM-Dearborn among the best regional universities in the Midwest. In 2024, UM-Dearborn was ranked the number one regional public university in Michigan and third in the Midwest. The university is also recognized on Forbes' list of America's Top Colleges. For more information, please visit our website at www.umdearborn.edu.
Dearborn is a vibrant and diverse community, centrally located within one of America's largest business regions. The area provides a variety of urban, suburban, and rural environments within a reasonable commute, including Detroit, its suburbs, and Ann Arbor.
Qualifications
Required: A Ph.D. or equivalent degree in Psychology, Cognitive Science, or a closely related field with demonstrated expertise at the intersection of AI and behavioral sciences.
Preferred: A record of research productivity, a clear research agenda, evidence of teaching effectiveness at the university level, and a commitment to fostering an inclusive and diverse learning environment. Experience in securing or potential for securing external grant funding is highly desirable.
Application Instructions
Applicants should send a letter of intent, curriculum vitae, a statement of teaching philosophy and experience, evidence of teaching performance, a statement of research experience and interest, samples of representative papers, and three letters of recommendation.
The review of applications will begin on November 15th, 2025 but applications will be accepted until the position is filled.
All applications must be submitted via Interfolio; applications submitted through careers.umich.edu will not be reviewed.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. information, call 734-764-1817.
Contact Information
If you have questions about this position, application requirements, or the application process please email Caleb Siefert at csiefert@umich.edu.