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Data Science Jobs in Michigan (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

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 ...

Deloitte

Data Scientist

Detroit, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Deloitte

Data Scientist

Grand Rapids, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Required : • 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 ...

Deloitte

Data Scientist

Midland, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Deloitte

Data Scientist

Lansing, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Sprinklr

Senior Data Scientist

Three Rivers, MI

They will also serve as a Product Manager of the data science and AI model(s), capturing feedback from stakeholders driving a roadmap for the BI Team. This role requires ongoing collaboration with ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

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 ...

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Data Science information

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$32.7K

$107K

$171.3K

How much do data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Data Science jobs in Michigan? For Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Michigan look for? The top searched job categories for Data Science jobs in Michigan are:
What cities in Michigan are hiring for Data Science jobs? Cities in Michigan with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Michigan as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.
Data & AI SCIENTIST

Data & AI SCIENTIST

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 22 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 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)

What Stellantis employees say

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