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Data Scientist Jobs in Michigan (NOW HIRING)

Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial Intelligence and system efficiencies by delivering innovative data driven solutions. Through these ...

As a data scientist you will be working on a cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves: * Up to 50% travel to support plants in ...

As a data scientist you will be working on a cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves: * Up to 50% travel to support plants in ...

A bachelor's degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related * 2+ years of professional data ...

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job Summary: At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through ...

As a data scientist you will be working on a cross-functional team environment supporting Howmet's casting, core, and rings facilities. This position involves: * Up to 50% travel to support plants in ...

Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract * Develop and deploy Machine Learning and AI models. * Analyze large datasets and generate business insights. * Build NLP ...

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job Summary: At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through ...

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote) Schedule/Travel: 9/80 with 10% travel Education:

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote) Schedule/Travel: 9/80 with 10% travel Education:

As a Data Scientist, you will play a critical role in leveraging data science to drive significant business impact. You will lead the development of Agentic AI applications and traditional ML models ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business ...

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to: * Use statistical and machine learning techniques ...

Job Summary We are seeking an experienced Data Scientist to lead and optimize the AI-driven product content ecosystem for owned brands. This role combines machine learning, product catalog management ...

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Showing results 1-20

Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data scientist jobs pay per year?

As of Jul 27, 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.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

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 the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

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.
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 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:
Infographic showing various Data Scientist job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.
Data Scientist

Data Scientist

Meijer Companies Ltd

Grand Rapids, MI • On-site

Full-time

Posted 25 days ago


Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,615 frontline employees who took The Breakroom Quiz

20th of 39 rated national retailers


Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

Please review the job profile below and apply today!

The Pharmacy Analytics team at Meijer leads the strategy, development and integration of analytics for Meijer Pharmacy. Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial Intelligence and system efficiencies by delivering innovative data driven solutions. Through these applications, data scientists drive material business value, mitigate business and operational risk, and significantly impact customer experience. This role works directly with merchandising, marketing, operations, IT, and vendor partners.


What You'll Be Doing:

  • Deliver against the overall data science strategy to drive a safe and secure patient experience, marketing, customer loyalty, and operational performance.
  • Partner with stakeholders to define requirements which meet system and customer experience needs for data science projects.
  • Partner with stakeholders to understand the journey that will be improved with the data science deliverables.
  • Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, data transformations, statistical models, machine learning and artificial intelligence functions to meet end user needs.
  • Partner with product development and technology teams to deploy pipelines into production environment following Safe Agile methodology as required.
  • Develop data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution.
  • Help to define, document and follow best practices for ML/AI development at Meijer.
  • Deliver communication to data consumers to ensure they understand data science products, have the proper training, and are following the best practices in application of data science products.
  • Monitor and analyze Key Performance Indicators to ensure the usage, adoption, health and value of data products.
  • Partner and communicate with internal teams and IT to ensure the architecture of data and systems are meeting data science team service level needs
  • Maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact
  • This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You'll Bring With You:

  • Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field
  • 4+ years of relevant data science experience in an applied role preferable in retail, pharmaceutical, logistics, supply chain or CPG industry.
  • Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch.
  • Experience with Azure Cloud technologies: Azure Synapse, Azure Data Factory, ADLS, and Azure DevOps/MLOps
  • Experience with Microsoft Fabric, PowerBI Reporting, Semantic Models, Ontology, Copilot
  • Experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
  • Proactive, curious and action oriented
  • Ability to collaborate with, and present to internal and external partners
  • Able to learn company systems, processes and tools, and identify opportunities to improve
  • Detail oriented and organized
  • Ability to meet production deadlines
  • Strong communications, interpersonal and organizational skills
  • Excellent written and verbal communication skills
  • Understanding of intellectual property rights, compliance and enforcement. Appreciation of HIPAA and other personal health or credit information confidentiality.

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