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Computer Science Jobs in Rochester, MI (NOW HIRING)

Inverselogix Inc

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 ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

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 ...

Faurecia

Data Science Intern

Auburn Hills, MI

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... cases such as computer vision, predictive maintenance, and anomaly detection. Support the ...

Stryker

Data Science Intern - Remote

Rochester Hills, MI · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Stryker

Data Science Intern - Remote

Warren, MI · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Stryker

Data Science Intern - Remote

Sterling Heights, MI · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

The Mathworks

Senior Technical Consultant

Novi, MI · On-site

$128K - $199K/yr

Additional Qualifications Employer will accept a Master's degree in Computer Science, Engineering [any] or related field and [2] two years of experience in the job offered or in a Senior Technical ...

Gates Corporation

CAD Designer

Rochester Hills, MI · On-site

$31 - $37/hr

We push the boundaries of material science to engineer solutions that continually exceed customer ... Essential Duties and Responsibilities The CAD Designer is responsible for developing detailed 3D ...

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Showing results 21-40

All JobsComputer Science JobsComputer Science Jobs in Rochester, MI

Computer Science information

See Rochester, MI salary details

$52K

$76.5K

$90.2K

How much do computer science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computer science in Rochester, MI is $76,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $86,100.00 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.
More about Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Rochester, MI?

The most popular types of Computer Science jobs in Rochester, MI are:

What are popular job titles related to Computer Science jobs in Rochester, MI?

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

What job categories do people searching Computer Science jobs in Rochester, MI look for?

The top searched job categories for Computer Science jobs in Rochester, MI are:

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

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

Computer Science jobs near you
Infographic showing various Computer Science job openings in Rochester, MI as of August 2026, with employment types broken down into 45% Full Time, and 55% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $76,498 per year, or $36.8 per hour.

Quality Data Scientist - Electrical Systems & Field Quality Engineering

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 8 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Are you passionate about transforming complex data into actionable insights that improve product quality and customer satisfaction? We are seeking a strategic, hands-on Data Scientist to support Warranty Analytics and Programs within our North America quality team.
The ideal candidate combines advanced data analytics, predictive modeling, and data manipulation expertise with the ability to communicate complex findings through clear, executive-ready PowerPoint presentations. You will be part of a talented team developing scalable analytics, predictive models, and early-warning capabilities to detect emerging quality trends across large enterprise datasets.
This is a fast-paced environment focused on rapid, high-quality delivery for business partners. You will work in a highly collaborative organization that values analytical rigor, speed, innovation, and measurable business impact.
Key Responsibilities:
  • Lead and coordinate cross-functional analytics and AI initiatives from problem definition through deployment, ensuring alignment with business objectives, timelines, and measurable outcomes.
  • Perform deep exploratory, diagnostic, and predictive analysis to identify patterns, relationships, anomalies, emerging risks, and leading indicators within complex datasets.
  • Build, validate, and deploy predictive models to forecast warranty claims, component failure rates, quality trends, repair demand, and cost exposure.
  • Apply statistical analysis, machine learning, forecasting, segmentation, and anomaly-detection techniques to solve business and operational problems.
  • Manipulate, integrate, cleanse, transform, and analyze large structured and unstructured datasets from multiple enterprise sources using Python, SQL, PySpark, and related tools.
  • Develop robust, repeatable analytical workflows and reusable data products that support scalable decision-making and consistent results.
  • Partner with business stakeholders to define analytical questions, translate business needs into actionable use cases and technical requirements, and establish success criteria.
  • Collaborate with data scientists, data engineers, platform teams, and subject-matter experts to improve data accessibility, model performance, scalability, and adoption.
  • Create compelling, executive-ready PowerPoint presentations that clearly communicate analytical methods, findings, predictions, business implications, risks, recommendations, and next steps.
  • Develop dashboards, visualizations, and analytical outputs that enable insight adoption, operational action, and performance monitoring.
  • Present complex analytical findings to technical and nontechnical audiences using concise storytelling, strong visual design, and decision-focused recommendations.
  • Ensure data quality, lineage, documentation, model transparency, and compliance with enterprise governance requirements.
  • Monitor model performance and analytical outputs, identify degradation or changing patterns, and recommend model recalibration or process improvements.

Basic Qualifications:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field
  • 7+ years of professional experience as a Data Scientist, Advanced Data Analyst, Predictive Analytics Specialist, or similar role
  • Strong proficiency in Python, SQL, PySpark, and data visualization tools such as Power BI or Palantir Foundry Workshop
  • Experience working with one or more enterprise data or cloud platforms, such as Palantir Foundry, Snowflake, Databricks, AWS, Azure, or GCP
  • Demonstrated experience performing advanced data analysis and developing predictive models that support business or operational decisions
  • Advanced data manipulation skills, including data extraction, cleansing, transformation, joining, feature engineering, validation, and analysis of large, complex datasets
  • Strong understanding of statistics, exploratory data analysis, hypothesis testing, regression, classification, forecasting, clustering, model evaluation, and applied machine learning
  • Proven experience delivering end-to-end analytics or data science solutions from requirements gathering and data preparation through validation, deployment, and monitoring
  • Advanced proficiency in Microsoft PowerPoint, including development of executive-level presentations, analytical storytelling, charts, visual summaries, and clear recommendations for senior leadership
  • Ability to translate complex analytical findings and model outputs into concise, actionable business insights for technical and nontechnical audiences
  • Strong communication, stakeholder engagement, problem-solving, prioritization, and cross-functional collaboration skills

Preferred Qualifications:
  • Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field
  • Extensive experience in deep data analysis, predictive analytics, forecasting, and development of models that identify future risks, trends, or outcomes
  • Demonstrated success converting complex analytical work into persuasive, executive-ready PowerPoint presentations that support decisions and action
  • Industry experience in automotive, warranty, quality, manufacturing, service operations, or related fields
  • Familiarity with data modeling, semantic layers, feature stores, and enterprise data platforms
  • Experience with MLOps concepts, model deployment, versioning, monitoring, explainability, and governance
  • Hands-on experience with Palantir Foundry, Snowflake Intelligence, Power BI, CoPilot, Anthropic, Gemin, and other forms of OpenAI/GPT or comparable analytics, LLM, and AI platforms
  • Experience analyzing unstructured data, including text, service narratives, customer complaints, or technical documentation

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