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Data Analyst Data Scientist Jobs in Michigan (NOW HIRING)

Data Scientist

Plymouth, MI ยท On-site

$90 - $130/hr

The Data Scientist will support this effort by developing practical, scalable analytics, machine ... learning, and AI-enabled solutions that improve decision-making, strengthen reporting accuracy, and ...

New

Excellent analytical skills. * Ability to work in a self-directed AND cross-functional team environment. * Strong organizational skills. As a data scientist you will be working on a cross-functional ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Analyze, manipulate and process large sets of data * Develop predictive/machine learning models ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Analyze, manipulate and process large sets of data * Develop predictive/machine learning models ...

Analytics, Insights, & Artificial Intelligence The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data ...

Principal Data Scientist (US)

Southfield, MI ยท On-site +1

$148K - $223K/yr

Analytics, Insights, & Artificial Intelligence The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data ...

Provides highly technical and analytical assessments of business priorities to senior leadership and drives the implementation of analytic solutions. Acts as a strong influencer and change agent in ...

Provides highly technical and analytical assessments of business priorities to senior leadership and drives the implementation of analytic solutions. Acts as a strong influencer and change agent in ...

Build analytical models, dashboards, and data products that enable business decision-making ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

Provides highly technical and analytical assessments of business priorities to senior leadership and drives the implementation of analytic solutions. Acts as a strong influencer and change agent in ...

Data Scientist

Dearborn, MI ยท On-site +1

$107K - $182K/yr

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. You'll have... Master's degree or foreign equivalent in Industrial and Operations ...

Communicate data science outputs effectively and support the development of models and solutions ... Lead analytics initiatives from ideation through production and adoption, demonstrating a strong ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Qualifications Years Of Experience 1 to 3 years of professional experience in data science or ...

Data Scientist

Sterling Heights, MI ยท Hybrid

$52 - $62/hr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs. * Troubleshoot issues with data ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Qualifications Years Of Experience 1 to 3 years of professional experience in data science or ...

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Showing results 1-20

Data Analyst Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data analyst data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analyst data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What are popular job titles related to Data Analyst Data Scientist jobs in Michigan? For Data Analyst Data Scientist jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Analyst Data Scientist jobs? Cities in Michigan with the most Data Analyst Data Scientist job openings:
Infographic showing various Data Analyst Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI โ€ข On-site

Contractor

Re-posted 3 days ago


Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.