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Computer Science Training Jobs in Michigan (NOW HIRING)

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

... training can easily find connections to. Understand stakeholders' requests and hidden issues and ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

masonbluesecurity

... ensure training programs are aligned with industry standards and organizational goals Requirements * Educational Background : Bachelor's degree in Computer Science, Information Technology ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

Majors in computer science, data analysis, or related firld * Graduation of 2027 or later * Minimum ... Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA ...

Faurecia

Data Science Intern

Auburn Hills, MI

... cases such as computer vision, predictive maintenance, and anomaly detection. Support the ... Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA ...

Corewell Health

Research Scientist

Grand Rapids, MI · On-site

... degree in computer science, physics, engineering, applied mathematics, or related fields. All ... research training and/or experience, including evidence of research productivity. * Experience ...

Spectrum Health

Research Scientist

Grand Rapids, MI

... degree in computer science, physics, engineering, applied mathematics, or related fields. All ... research training and/or experience, including evidence of research productivity. * Experience ...

New

Spectrum Health

Research Scientist

Grand Rapids, MI · On-site

... degree in computer science, physics, engineering, applied mathematics, or related fields. All ... research training and/or experience, including evidence of research productivity. * Experience ...

New

Corewell Health

Research Scientist

Grand Rapids, MI · On-site

... degree in computer science, physics, engineering, applied mathematics, or related fields. All ... research training and/or experience, including evidence of research productivity. * Experience ...

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How much do computer science training jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer science training in Michigan is $61,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,322.00 and $87,817.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Science Training position, and why are they important?

To thrive in Computer Science Training roles, you need a solid background in computer science concepts, programming, and educational or instructional expertise, often supported by a relevant degree or professional certifications such as CompTIA, Microsoft Certified Educator, or instructional design credentials. Familiarity with learning management systems (LMS), online collaboration platforms, and coding tools like Python, Java, or C++ is commonly required. Strong communication, patience, and the ability to tailor complex technical information to diverse audiences are valuable soft skills in this field. These competencies are essential for effectively teaching and preparing learners for evolving industry demands.

What are some typical responsibilities of someone working in Computer Science Training?

Professionals in Computer Science Training are often responsible for designing and delivering curriculum, conducting hands-on programming workshops, assessing learners' progress, and updating course materials to reflect current industry trends. You may work closely with other instructors, HR training coordinators, or technical experts to align content with organizational or educational objectives. Collaboration with industry professionals and ongoing professional development are also common, as the technology landscape evolves quickly. This mix of technical and educational duties ensures that trainees gain practical, up-to-date skills needed for a successful tech career.

What is a Computer Science Training job?

A Computer Science Training job involves teaching or mentoring individuals in computer science concepts, programming, and related technologies. Professionals in this role may work in academic institutions, corporate training programs, or bootcamps to help students or employees develop technical skills. The job often includes designing curriculum, conducting lectures or hands-on coding sessions, and assessing learners' progress. Strong knowledge of programming languages, algorithms, and software development is typically required.

What are popular job titles related to Computer Science Training jobs in Michigan? For Computer Science Training jobs in Michigan, the most frequently searched job titles are:
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Computer Science Training jobs near you
Infographic showing various Computer Science Training job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $61,184 per year, or $29.4 per hour.
Sr. Staff Data Scientist - Machine Learning & AI (Quality, Vehicle & Engineering Analytics)

Sr. Staff Data Scientist - Machine Learning & AI (Quality, Vehicle & Engineering Analytics)

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 24 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

About the Role:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis.
This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes.
This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.
What You Will Do:
Technical Leadership & ML Strategy (Staff-Level Ownership)
  • Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organization
  • Set technical direction for:
    • Machine learning systems
    • Experimentation platforms
    • Data science architecture
  • Act as a trusted technical advisor to senior leadership on:
    • Model feasibility
    • Trade-offs (accuracy, scalability, cost, interpretability)
    • Business impact of ML/AI initiatives
  • Influence roadmap decisions across engineering and product organizations

Advanced Machine Learning & Statistical Modeling
  • Develop and deploy predictive, prescriptive, and causal models using:
    • Vehicle data
    • IoT sensor data
    • Enterprise datasets
  • Apply advanced techniques including:
    • Statistical modeling
    • Machine learning algorithms
    • Deep learning / neural networks
  • Lead root cause analysis for vehicle quality, performance, and system failures
  • Design and build LLM-based systems and agentic AI solutions for engineering and quality use cases

Data Science Platform & Scalable Systems
  • Architect and guide development of large-scale distributed data and ML systems
  • Build and scale analytics pipelines using Spark-based distributed processing frameworks
  • Lead ML model lifecycle management, including:
    • Training
    • Validation
    • Deployment
    • Monitoring in production
  • Ensure models and systems are:
    • Explainable
    • Reliable
    • Production-ready
    • Compliant with automotive/regulatory standards

Experimentation & Product Impact
  • Own and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software features
  • Design statistically sound experiments (A/B tests and beyond)
  • Translate experimental results into clear product and engineering decisions
  • Drive measurable business outcomes including:
    • Warranty cost reduction
    • Improved product quality
    • Enhanced customer experience
    • Revenue-impacting insights

Influence, Mentorship & Knowledge Sharing
  • Mentor senior and mid-level data scientists, raising technical standards across the team
  • Help teams with:
    • Problem formulation
    • Research design
    • Statistical interpretation
  • Contribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)
  • Serve as a cross-functional leader bridging engineering, product, and executive teams

What Success Looks Like (Top Performers)
Strong candidates will demonstrate:
  • Proven impact from deployed ML systems or production analytics products
  • Quantifiable improvements in:
    • Vehicle quality
    • Warranty reduction
    • Customer experience metrics
  • Ability to influence technical strategy beyond their immediate team
  • Strong communication skills with executive and non-technical stakeholders

Demonstrated ability to turn complex analysis into business decisions and outcomes
Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 8 years of experience in data science, advanced analytics, or machine learning, including a minimum of 5 years of hands-on experience with Databricks, Palantir, Snowflake, or AWS SageMaker
  • Expert-level proficiency in:
    • Python (or R)
    • SQL
  • Strong foundation in:
    • Machine learning algorithms
    • Statistical modeling
    • Neural networks / deep learning
  • Experience building ML solutions on distributed systems (e.g., Spark)

Preferred Qualifications:
  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Experience with:
    • Large Language Models (LLMs)
    • Fine-tuning foundation models
    • Agentic AI systems
  • Experience building ML solutions in engineering, automotive, propulsion, or battery systems
  • Strong understanding of vehicle quality (QA), reliability, or manufacturing analytics
  • Experience working in high-scale enterprise or regulated environments

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