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Computer Science Jobs in Detroit, MI (NOW HIRING)

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

Embedded Software Engineer

Rochester, MI · On-site

$121K - $159K/yr

B.S. in Electrical Engineering, Computer Science, Computer Engineering or Electronics Engineering with 5+ years of software development experience using C and assembly software for embedded ...

Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field. * 5+ years of progressive experience in data science or a related analytical ...

Embedded Software Engineer

Rochester, MI · On-site

$121K - $159K/yr

S. in Electrical Engineering, Computer Science, Computer Engineering or Electronics Engineering with 5+ years of software development experience using C and assembly software for embedded controllers ...

Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field. * 5+ years of progressive experience in data science or a related analytical ...

Majors in computer science, data analysis, or related firld * Graduation of 2027 or later * Minimum 2.8 GPA What we can do for you * At Forvia, you will find an engaging and dynamic environment where ...

Showing results 41-60

Computer Science information

See Detroit, MI salary details

$55.9K

$82.3K

$97K

How much do computer science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer science in Detroit, MI is $82,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

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 Computer Science jobs in Detroit, MI?

For Computer Science jobs in Detroit, MI, the most frequently searched job titles are:

What cities near Detroit, MI are hiring for Computer Science jobs?

Cities near Detroit, MI with the most Computer Science job openings:

Infographic showing various Computer Science job openings in Detroit, MI as of September 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $82,275 per year, or $39.6 per hour.

Senior Data Scientist

Dearborn, MI • On-site

Ford Motor Company
Motor Vehicle Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 528 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description


We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
In this position...
In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority.
The GDIA Cost Efficiency Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques.
As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Cost efficiency analytics to align with their needs and processes to ensure relevancy of products.
Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week
Responsibilities
What you'll do...
  • Model Development and Optimization: Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific business problems.
  • Familiar with LLM orchestration workflows like Crew.ai, Langraph, Google ADK for quick development and scaling strategies to build robust pipelines.
  • Deployment and Integration: Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
  • Infrastructure Management: Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
  • Collaboration: Working with data scientists to define AI strategies, understand requirements, and implement solutions.
  • Performance Evaluation: Testing, validating and monitoring AI models in production scale to ensure reliability.
  • Research and Innovation: Staying current with AI advancements (e.g., Generative AI, LLMs) and applying them to improve existing products.

Additionally, you will...
  • Accelerate the application of value-added analytics and machine learning into the portfolio of products for CEA.
  • Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
  • Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
  • Work hands-on with the team and other partners to deliver solutions that meet our customers' requirements and needs.
  • Act as a consultant to the business vs. an order taker.
  • Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.

Qualifications
You'll have...
  • Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of relevant education and experience
  • 5+ years of hands-on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis
  • 3+ years of experience delivering analytics solutions
  • 3+ years of experience with Agile team methodology

Even better, you may have...
  • PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field
  • Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory)
  • Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem
  • Experience with Product Driven Operating Model or Agile Product Development Process
  • Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users
  • Comfortable working in an environment where problems are not always well-defined
  • Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner
  • Well-organized, independent, and ready to work with minimal supervision
  • Inquisitive, proactive, and interested in learning new tools and techniques
  • Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform
  • Demonstrated experience to translate real-world business problems into analytical formulations and interpret analytics results with non-analytics business partners
  • Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc.
  • Thorough understanding of the 'Common Data Model' standard published by Manufacturing

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade of 7 or 8 and ranges from $99,600- 192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:
https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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