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Weekend Computer Science Environmental Jobs in Detroit, MI

Inverselogix Inc

Embedded Software Engineer

Rochester, MI

$121K - $159K/yr

... great environment with opportunity to work with best talent in the Market. Develop control ... S. in Electrical Engineering, Computer Science, Computer Engineering or Electronics Engineering ...

General Motors

Senior AI/ML Scientist

Milford, MI · On-site

... environments. * Establish and champion engineering best practices, coding standards, and ... Bachelor's degree in Computer Science, Engineering, or Mathematics * Proficiencyin modern ...

Rock Connections

Manager, Data Science

Detroit, MI

Just as importantly, you'll help grow great people - creating an environment where team members can ... Bachelor's degree in computer science, statistics or a related field * Proficiency in the Microsoft ...

Inverselogix Inc

Embedded Software Engineer

Rochester, MI · On-site

$121K - $159K/yr

... great environment with opportunity to work with best talent in the Market. • Develop control ... S. in Electrical Engineering, Computer Science, Computer Engineering or Electronics Engineering ...

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

... 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 you can ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

... OR Computer Science or equivalent combination of relevant education and experience * 5+ years of ... Comfortable working in an environment where problems are not always well-defined * Strong ...

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All JobsComputer Science Environmental JobsWeekend Computer Science Environmental JobsWeekend Computer Science Environmental Jobs in Detroit, MI

Weekend Computer Science Environmental information

What is the difference between Weekend Computer Science Environmental vs Weekend Data Analyst?

AspectWeekend Computer Science EnvironmentalWeekend Data Analyst
Required CredentialsRelevant computer science or environmental certifications, degreesData analysis certifications, degrees in statistics or related fields
Work EnvironmentOutdoor or lab settings for environmental work; computer labs for CSOffice or remote settings, analyzing data on computers
Employer & Industry UsageEnvironmental agencies, tech companies with environmental projectsBusinesses, research firms, government agencies analyzing data
Common Search & ComparisonOften compared for weekend or part-time roles involving tech or environmentCompared for data analysis roles, but less so with environmental focus

The comparison between Weekend Computer Science Environmental and Weekend Data Analyst highlights differences mainly in work environment and certifications. While both roles involve computer skills, the environmental role emphasizes outdoor or lab work, whereas data analysts focus on office-based data processing. Understanding these distinctions helps job seekers choose roles aligned with their skills and interests.

What are the most commonly searched types of Computer Science Environmental jobs in Detroit, MI? The most popular types of Computer Science Environmental jobs in Detroit, MI are:
Weekend Computer Science Environmental jobs near you
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 26 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Job Summary:
Stellantis is seeking a Senior Staff Data Scientist (ML/AI) to lead technical strategy and architecture within the Machine Learning & AI Engineering team. This role involves shaping the use of ML and AI across vehicle quality, engineering systems, and customer experiences, while driving measurable business outcomes through advanced analytics and experimentation.
Responsibilities:
• 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
• 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
• 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
• 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
• 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
Qualifications:
Required:
• 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:
• 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
Company:
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Founded in 2007, the company is headquartered in Turin, ITA, with a team of 10001+ employees. The company is currently Late Stage.

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