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Data Science Jobs in Michigan (NOW HIRING)

Data Scientist

Sterling Heights, MI · On-site

$90 - $125/hr

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Data Scientist

Warren, MI · On-site

$120 - $190/hr

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Data Scientist

Grand Rapids, MI · On-site

$90 - $130/hr

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar ...

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

Showing results 21-40

Data Science information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data science jobs pay per year?

As of Sep 5, 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 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 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.

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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 cities in Michigan are hiring for Data Science jobs?

Cities in Michigan with the most Data Science job openings:

Infographic showing various Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Data Scientist

ArtiFlex Manufacturing

Sterling Heights, MI • On-site

$90 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


ArtiFlex Manufacturing rating

8.3

Company rating: 8.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Data Scientist Help Build the Data Behind What’s Next

ArtiFlex is building a proprietary data environment that brings together information from Salesforce, ERP systems, and other internal databases. At the center of this effort is an AI-powered platform designed to make that information more accessible and useful across the business.

We’re looking for a Data Scientist to help build and support this evolving data environment. You’ll work with complex data, develop analytical and predictive solutions, and partner with business and technical teams to turn data into useful information and insights.

What You’ll Do

Design, build, and deploy machine learning algorithms, statistical models, and predictive workflows.

Support the development of forecasting and other data models as the organization's data foundation develops.

Data Observation & Management

Clean, preprocess, and integrate large structured and unstructured datasets from multiple sources.

Help ensure data is accurate, current, and usable across the organization's systems.

Cross-Functional Collaboration

Partner with product, production, services, engineering, and other business teams to understand data needs, challenges, and how data is used.

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement opportunities.

Business Insights

Translate complex analytical results into clear, actionable recommendations for business and executive stakeholders.

Help make organizational data more accessible and useful through ArtiFlex's proprietary Data Link and AI-enabled tools.

Performance Monitoring

Track, maintain, and optimize live models to support ongoing accuracy and business value.

Monitor data quality and identify opportunities for improvement.

This Role May Be for You If...

You have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.

You have 3+ years of experience in Data Science, Business Analytics, or a related field.

You have strong database management skills using SQL for querying, aggregating, and analyzing data.

You have experience with Python and a solid foundation in supervised and unsupervised machine learning techniques.

You have strong analytical and problem-solving skills.

You communicate effectively with both technical and non-technical teams.

You are proactive and interested in understanding both the data and the business needs behind it.

Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web Services), Microsoft Azure, Azure ML/AI, Azure Cognitive Services, SAS, R, SQL, DB2, GitHub, and Power BI.

You do not need to be an expert in every technology listed. We’re looking for strong data science fundamentals and the ability to learn and work across a modern data and AI environment.

What Success Looks Like

In your first 6–12 months, success will mean making measurable progress in cleaning and improving our data, developing proactive processes with data owners, and building relationships with business leaders to understand their data needs and challenges.

As the data foundation develops, you’ll have the opportunity to expand into data modeling, forecasting, predictive analytics, and AI-driven solutions.

A Few More Details

Reports to: IT Director

Typical Schedule: Monday–Friday, 7:30 a.m.–4:30 p.m.

Location: While having a home base, this individual will be expected to meet with leaders across all of ArtiFlex locations in Michigan and Ohio.

  • Citizenship: Due to the nature of the role, candidates must be a US Person.
Why ArtiFlex?

This isn't a role where you'll simply work with existing reports and datasets. You’ll help build the data foundation behind how ArtiFlex uses AI and information to solve real business problems.

ArtiFlex employees are ArtiFlex owners with our Employee Stock Ownership Plan (ESOP).

We provide a full array of Health and Welfare plans including: Medical, Dental, Vision, Long & Short-Term Disability, Life, Flexible Spending or Health Savings Accounts, 401k with Company Matching, Paid Time Off, Holiday Pay, Annual Bonus, Tuition Reimbursement, Prescription Safety Glasses Reimbursement, Tool Purchase Program, Career Development, Training, Vehicle Purchase Supplier Discount, Company Events, Celebrations, and more!

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