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Computer Science Data Science Jobs in Canton, MI

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Master in Data Science / Computer Science * 5 years of relevant experience (i.e. ICT and/or Supply Chain) * Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

Role Summary As a Manager of Data Science at OneMagnify, you'll lead a team focused on turning complex data into decisions that drive measurable business outcomes. You'll sit at the center of our ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

NLP, Computer Vision, Time Series) Qualifications : Required : • Master in Data Science / Computer Science • 5 years of relevant experience (i.e. ICT and/or Supply Chain) • Knowledge of at ...

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Varsity Tutors

AP Computer Science A Tutor

Detroit, MI · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Varsity Tutors

AP Computer Science A Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a related ...

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

Master's - Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a related ...

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 ...

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 ...

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 ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Canton, MI

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 Jul 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.

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Canton, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $113,748 per year, or $54.7 per hour.
Data & AI SCIENTIST

Data & AI SCIENTIST

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 22 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods.
Job responsibilities include but not limited to:
  • Merge large, complex data sets that meet business requirements
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Writing and refactoring the code into reusable libraries and API
  • Support business analytics initiatives across SC departments
  • Facilitate the internal and external data science & AI network
  • Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)

Basic Qualifications:
  • Master in Data Science / Computer Science
  • 5 years of relevant experience (i.e. ICT and/or Supply Chain)
  • Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake
  • Strong programming skills in Python and SQL
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, ...)
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks
  • Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives
  • Ability to work within a team and with a proactive attitude

Preferred Qualifications:
  • PhD
  • Experience in a multinational (global) work environment
  • AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
  • Palantir Foundry platform
  • Microsoft PowerBI / Fabrics tool (incl. DAX programming language)
  • Deep learning frameworks (Pytorch, Tensorflow, ...)
  • Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)

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