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Associate Computer Science Jobs in Detroit, MI (NOW HIRING)

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... Computer Science, Data Processing/Analytics/Science - At least 2 years of experience in data ...

Mentor and train associate data scientists About you * 3 years of experience working with large ... Master's degree in mathematics, statistics, computer science or a related field or equivalent ...

Mentor and train associate data scientists About you * 3 years of experience working with large ... Master's degree in mathematics, statistics, computer science or a related field or equivalent ...

Associate's degree in Computer Science, Electrical Engineering, or related field * At least 1 year of software development experience * Programming in various development software including Microsoft ...

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Associate Computer Science information

See Detroit, MI salary details

$8

$17

$29

How much do associate computer science jobs pay per hour?

As of May 30, 2026, the average hourly pay for associate computer science in Detroit, MI is $17.40, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $18.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What types of projects and technologies can an Associate Computer Science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is an Associate Computer Science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

What are the most commonly searched types of Computer Science jobs in Detroit, MI? The most popular types of Computer Science jobs in Detroit, MI are:
What are popular job titles related to Associate Computer Science jobs in Detroit, MI? For Associate Computer Science jobs in Detroit, MI, the most frequently searched job titles are:
What cities near Detroit, MI are hiring for Associate Computer Science jobs? Cities near Detroit, MI with the most Associate Computer Science job openings:
Assistant or Associate Professor in AI, Biodiversity, and Society School for Environment and Sust...

Assistant or Associate Professor in AI, Biodiversity, and Society School for Environment and Sust...

University of Michigan

Ann Arbor, MI • On-site

Full-time

Posted 5 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

128th of 529 rated colleges and universities


Job description

Description
The School for Environment and Sustainability (SEAS) at the University of Michigan invites applicants for a full-time, nine-month, tenure-track Assistant/Associate Professor in Artificial Intelligence, Biodiversity, and Society beginning Fall 2025. The position is part of a two-position cluster hire in Artificial Intelligence for Sustainability using cutting edge technologies to address questions at the intersection of society and the environment. The second position is in AI and Sustainable Systems: http://apply.interfolio.com/156525
We seek a candidate whose teaching and research interests focus on understanding the drivers of change in biodiversity and the implications of those changes for ecosystems and societies, using cutting edge AI techniques to advance their research. Importantly, we are seeking candidates who have an interest in using their research to help solve real-world sustainability challenges. Areas of interest include, but are not limited to, the human influence on biodiversity patterns and processes, biodiversity and ecosystem services, and reciprocal interactions between biodiversity and society. Preference will be given to a candidate that demonstrates the ability to (i) use or develop AI methodologies, (ii) innovatively handle big and heterogeneous datasets to decipher complex patterns, and (iii) address the ethics of AI in their research and teaching.
Qualifications
Candidates must have a Ph.D. in geography, ecology, computer science, engineering, environmental science, or other fields bringing AI analytical approaches to understanding the relationships between biodiversity and society. Candidates must have a strong record of scholarly publication, evidence of teaching potential in a multidisciplinary setting, as well as activities demonstrating a potential for and/or trajectory towards national and international recognition. Priority will be given to applicants whose research programs complement or align with one or more current research strengths in SEAS (e.g., environmental justice, sustainable systems, ecosystem science and management).
SEAS's mission is to contribute to the protection of the Earth's resources and the achievement of a sustainable and just society. The School contributes new scientific knowledge, visionary leadership, and trained professionals toward that end. The faculty of the School is diverse, with natural scientists, social scientists, engineers, and designers working collaboratively in an integrative setting. A professional school set within a major research university, SEAS provides a model of interdisciplinary and applied research and a focal point of research, teaching and societal engagement on sustainability. The School focuses on key cross-cutting sustainability themes, including climate and energy; water; food, land use, and agriculture; conservation and restoration; and cities, the built environment, and mobility. There are many opportunities for research collaborations through institutes such as the Michigan Institute for Data & AI in Society and the Institute for Global Change Biology.
The School offers a Ph.D. as well as both research and professional M.S. degrees in seven specializations: ecosystem science and management; geospatial data science; sustainable systems; environmental policy and planning; behavior, education and communication; environmental justice; and sustainability and development. The School also offers a Master's degree in Landscape Architecture (M.L.A.). The student body includes over 500 M.S./M.L.A. and 60 doctoral students. SEAS also co-manages an undergraduate Program in the Environment and participates in dual master degree programs with the Schools of Architecture and Urban Planning, Business, Engineering, Law, Public Health, and Public Policy. Additional information about the School can be found at www.seas.umich.edu.
The successful candidate will be expected to:
  1. Develop a widely recognized research program that attracts external funding and contributes to the interdisciplinary mission of the School;
  2. Support SEAS's teaching mission at both graduate and undergraduate levels, including mentoring and supervising doctoral and master's students;
  3. Contribute to the stewardship of SEAS, the University, relevant professions and society through service, collaboration and engagement.

The position will be filled at the assistant professor (tenure-track) or associate professor (tenured) level.
Application Instructions
Applications should include (1) a cover letter; (2) CV; (3) a concise personal statement describing your vision and plans for research, teaching and societal engagement; (4) a one-page statement that showcases a demonstrated commitment to diversity efforts, and (5) a list of three names of academic references with contact information.
Employment will require both a criminal background check and an institutional reference check
regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as
an authorization to release information form.
To apply, submit application materials via Interfolio: http://apply.interfolio.com/156521
Review of applications will begin on November 15, 2024 and continue until the position is filled. SEAS hopes to appoint a faculty member to this position to begin Fall 2025.
At SEAS we are committed to creating and maintaining an inclusive and equitable environment that respects diverse experiences, promotes generous listening and communications, and discourages and restoratively responds to acts of discrimination, harassment, or injustice. Our commitment to diversity, equity and inclusion is deeply rooted in our values for a sustainable and just society.

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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