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Data Science Manager Jobs in Michigan (NOW HIRING)

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Responsible for designing, building ...

Urban Science

Senior Data Scientist

Detroit, MI

URBAN SCIENCE DOES NOT AND WILL NOT PROVIDE IMMIGRATION RELATED SPONSORSHIP FOR THIS ROLE, NOW OR ... Works with manager in completing own annual goal setting and performance review in a timely manner.

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$66K - $186K/yr

You'll have... Bachelor's degree or foreign equivalent in Computer Science, Data Science or a ... 4. Developing and managing data visualizations and dashboards using tools including Python ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... their manager}.This job may be eligible for relocation benefits. About GM Our vision is a world ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... manager}. This job may be eligible for relocation benefits. About GM Our vision is a world with ...

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Data Science Manager information

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$27K

$84.7K

$149.9K

How much do data science manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science manager in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 Manager jobs in Michigan? For Data Science Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Michigan look for? The top searched job categories for Data Science Manager jobs in Michigan are:
What cities in Michigan are hiring for Data Science Manager jobs? Cities in Michigan with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.
Data Scientist

Data Scientist

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Re-posted 5 days ago

Job description

 

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

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

Rate: $52 to $62 per hour (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. 
  • 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. 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed. 
  • 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, monitor system performance, and perform regular maintenance to ensure smooth operation. 
  • 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. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. 
  • 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. 
  • Proficiency with server usage and troubleshooting. 
  • 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. 
  • 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. 
  • 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. 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems. 
  • 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. 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards. 
  • 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
 
Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate.  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

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