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Data Scientist Jobs in Michigan (NOW HIRING)

Domino's

Data Scientist

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Qualifications Years Of Experience 1 to 3 years of professional experience in data science or related analytical roles. Education Completion of a degree in a quantitative field such as Computer ...

Domino's Corporate

Data Scientist

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Qualifications Years Of Experience 1 to 3 years of professional experience in data science or related analytical roles. Education Completion of a degree in a quantitative field such as Computer ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Qualifications Years Of Experience 1 to 3 years of professional experience in data science or related analytical roles. Education Completion of a degree in a quantitative field such as Computer ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

  • Medical

  • Dental

  • Life

  • PTO

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders, identifying business requirements, gathering data, researching analytics solutions, and integrating ...

DTE Energy

Expert Data Scientist

Detroit, MI

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders, identifying business requirements, gathering data, researching analytics solutions, and integrating ...

Td

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$110K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

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Showing results 21-40

All JobsData Scientist JobsData Scientist Jobs in Michigan

Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Michigan? The most popular types of Data Scientist jobs in Michigan are:
What are popular job titles related to Data Scientist jobs in Michigan? For Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Michigan look for? The top searched job categories for Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Data Scientist jobs? Cities in Michigan with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in MI? For Data Scientist jobs in MI, the most frequently searched job titles are:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Data Scientist

Domino's

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,929 frontline employees who took The Breakroom Quiz

19th of 24 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
Drive new store openings in our domestic and largest international markets by transforming large geospatial datasets into actionable insights. Build a strong knowledge of available internal and external data sources. Mine and synthesize across data sources to help address opportunities leveraging geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI) components of an in-house Store Development Mapping Platform (DMAP), creating test and measurement plans and executing those plans. Continually innovate and improve upon existing methodologies and products. Consult on data collection for new products to ensure all tracking is in place for future analysis. Manipulate and analyze large, complex geospatial datasets, ensuring data quality and accessibility for advanced analytics. Work in a fast-paced, challenging environment with opportunities for skill enhancement.
Responsibilities
  • Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis.
  • Develops and implements basic statistical models and machine learning algorithms to address defined business problems.
  • Collaborates with cross-functional teams to understand data requirements and deliver actionable insights.
  • Documents methodologies, processes, and results to ensure reproducibility and knowledge sharing.
  • Monitors model performance and assists in maintaining data pipelines and analytical tools.

Job Tasks
  • Extracts and transforms data from multiple sources using standard querying and scripting techniques.
  • Builds and validates predictive models using established algorithms and frameworks.
  • Generates reports and visualizations to communicate findings to stakeholders.
  • Assists in troubleshooting data quality issues and refining data collection processes.
  • Participates in code reviews and applies feedback to improve analytical solutions.

Skills
  • Proficient in data manipulation and exploratory data analysis with attention to data quality.
  • Basic understanding of machine learning concepts and ability to apply standard algorithms.
  • Effective communication skills for presenting technical information to non-technical audiences.
  • Ability to work under general supervision while managing multiple routine tasks.
  • Familiarity with version control and collaborative development practices.
  • Experience with geospatial data analysis tools, including ArcGIS (arcpy), Pandas/GeoPandas, Geospatial SQL, etc

Software Application
  • Python for data analysis and modeling.
  • SQL for data extraction and manipulation
  • Experience with ArcGIS.
  • Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.
  • Jupyter Notebooks or similar integrated development environments.
  • Version control systems such as Git.
  • Experience with Fast API creation (i.e. functional programming, automated testing, performance optimization techniques)
  • Experience applying algorithms to large-scale data (e.g. supervised/unsupervised, optimization/solver)
  • Experience with Geospatial data types

Physical Requirements
Primarily sedentary work involving extended periods of computer use. Occasional requirement to attend meetings or collaborate in team environments.
Qualifications
Years Of Experience
1 to 3 years of professional experience in data science or related analytical roles.
Education
Completion of a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
Additional Information
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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