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Data Analyst Data Scientist Jobs in Michigan (NOW HIRING)

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 ...

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ...

Data Scientist

Sterling Heights, MI ยท On-site

$50 - $58/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 infrastructure ...

New

Data Scientist

Detroit, MI ยท On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You will also contribute to building the analytics capabilities OneMagnify delivers at scale ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That ...

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That ...

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or ...

Data Scientist

Okemos, MI ยท On-site

$110 - $140/hr

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or ...

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Showing results 21-40

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 Scientist

Geologics

Sterling Heights, MI โ€ข Hybrid

$52 - $62/hr

Contractor

PTO

Re-posted 28 days ago


Job description

ย 

GeoLogicsย is working with a top Aerospace and Defense client looking for a Data Scientistย in Sterling Heights, MI - Hybrid.

Role:ย Data Scientist

Client:ย Top Aerospace and Defense company

Location:ย Sterling Heights, MI -ย Hybrid (Goal is to be 3 days on, 2 day remote)ย 

Schedule/Travel:ย 9/80 with 10% travel

Education:ย Bachelor's in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hourย (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines.ย 
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights.ย 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting.ย 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes.ย 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed.ย 
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.ย 
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation.ย 
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications.ย 
  • Proven ability to work within teams in which your contributions are critical to success.ย 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming.ย 
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
  • Familiarity with Atlassian Jira or ServiceNow.ย 
  • Proficiency with server usage and troubleshooting.ย 
  • Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
  • Must be able to work independently to research, analyze, and form solutions.ย 
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation.ย 
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process.ย 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems.ย 
  • Ability to make decisions with sound judgment while complying with policies and procedures.
  • Experience developing requirements for collection of and follow on use of data to inform the organization.ย 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards.ย 
  • Self-starter with excellent attention to detail and able to stay organized.

Must Have Knowledge:

  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Collecting Data from various sources
  • Troubleshoot issues with data infrastructure, monitor systems
ย 
Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate. ย Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran



Education:DegreeEmployment Type: CONTRACTOR