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Computer Science Data Science Jobs in Canton, MI

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Bachelor's degree in Computer Science & Engineering, related field or equivalent combination of ... Advanced data manipulation and analysis using libraries such as Pandas. * 3+ years of experience in ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site

$113K - $136K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 4+ years of experience in data science, analytics, or a related field - with direct experience in ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) • 4+ years of experience in data science, analytics, or a related field - with ...

DTE Energy

Expert Data Scientist

Detroit, MI

D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.) * Advanced business acumen and ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.) * Advanced business acumen and ...

Ford Motor Company

Data Scientist

Dearborn, MI

$107K - $186K/yr

Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or related field and 3 years of experience in the job offered or related occupation. 3 years of ...

Domino's

Sr. Data Scientist (REF39029K)

Ann Arbor, MI · On-site

Bachelor's degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering or related quantitative field of study and 5 years of progressive experience in Data Science and ...

Deloitte

Data Scientist

Detroit, MI · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience * 5+ Years of Experience in a Data Science or ...

AceStack LLC

Robotics Data Engineer

Warren, MI

$107K - $128K/yr

Warren, MI FTE • 3+ years of experience in data engineering, machine learning systems, robotics, or related fields. • Master's degree in engineering, Computer Science, Data Science, or equivalent ...

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Computer Science Data Science information

See Canton, MI salary details

$34.8K

$113.7K

$182.1K

How much do computer science data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science data science in Canton, MI is $113,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $126,000.00 per year, depending on experience, location, and employer.
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Canton, MI as of June 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $113,748 per year, or $54.7 per hour.
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 25 days ago

Job description

Job Description
We are looking for a Data Scientist with exceptional skills in Machine Learning (ML) and Artificial Intelligence (AI). We are seeking an experienced data scientist with a strong focus on building and maintaining sophisticated full-stack applications. The successful candidate will possess a proven track record of designing, developing, and deploying successful innovative Generative AI (GenAI) software solutions. This role requires a proven communicator who effectively interfaces between technical and business teams, translating complex AI capabilities and technical insights into actionable business value.
Responsibilities
What you'll do...
  • Architect, develop, and deploy end-to-end agentic full-stack Generative AI (GenAI) applications that solve complex real-world problems, with a specific focus on improving engineering challenges and inefficiencies.
  • Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and maintenance of AI solutions.
  • Lead the integration of new cloud technologies and AI tools (e.g., Vertex AI) into our workflows, continuously evaluating their potential and articulating their business value to drive innovation and efficiency.
  • Develop intuitive and responsive front-end user interfaces that enable seamless interaction with agentic AI systems and effectively translate complex outputs into actionable insights.
  • Acquire a deep understanding of vehicle engineering problems, translating them into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation).
  • Ensure the overall quality and integrity of data and solutions throughout the development lifecycle, from data collection and cleaning to model deployment

Qualifications
You'll have...
  • Bachelor's degree in Computer Science & Engineering, related field or equivalent combination of relevant education and experience
  • 3+ years of experience building full-stack applications in production environments, with proficiency in Data Science, JavaScript/TypeScript, React, HTML and backend frameworks including Next.js, Node.js, Python, or Go
  • 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL) and building scalable API services using frameworks such as Flask or FastAPI
  • 2+ year experience deploying and maintaining applications in cloud-native environments (e.g., AWS, Azure, GCP)
  • 2+ years of hands-on experience designing and building agentic workflows using modern AI frameworks and platforms, specifically LangChain, LangGraph, Google Agent Development Kit (ADK), and Google Vertex AI
  • Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
  • Experience implementing AI Evaluation frameworks (e.g., RAGEval) to systematically measure, benchmark, and ensure the quality, safety, and relevance of LLM outputs in production
  • 2+ year experience working with DevOps tools (Docker, Kubernetes, Terraform, etc.)
  • Leveraging and integrating GCP cloud-based AI tools like Vertex AI into production systems
  • A strong passion for evaluating, championing, and integrating new technologies and tools, particularly within GCP, into existing workflows, with the ability to clearly articulate and justify their business value and impact
  • Exceptional collaboration skills, with the ability to effectively interface between technical development teams and business stakeholders, understanding and navigating both IT and business constraints
  • Comfortable working in ambiguous environments where problems are not always well-defined, and solutions require innovative thinking

Even better, you may have...
  • Master's degree in Computer Science & Engineering, related field or equivalent combination of relevant education and experience
  • 5+ years of Python development experience, specifically for:
  • Advanced data manipulation and analysis using libraries such as Pandas.
  • 3+ years of experience in Machine Learning model development, including Natural Language Processing (NLP), utilizing deep learning frameworks (PyTorch, TensorFlow, Keras), and leveraging open-source model ecosystems like Hugging Face
  • 3+ years of hands-on experience developing and deploying solutions on major cloud platforms, including Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  • Advanced experience with LLMOps, MLOps, and AIOps, including managing the end-to-end lifecycle, continuous evaluation, fine-tuning, and monitoring of Large Language Models in enterprise environments
  • 3+ years of Front-End Development experience using modern web technologies like React, JavaScript, and HTML, to build intuitive user interfaces for AI applications.
  • Experience with AIOps, MLops would be beneficial
  • Domain experience in the automotive industry, specifically applying AI/ML to solve complex vehicle engineering challenges, connected vehicle data, autonomous systems, or 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 child care 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 range of salary grades 6-8 and ranges from $74,300-$166,200.
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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
#LI-MG3
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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