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Data Science Project Manager Jobs in Michigan (NOW HIRING)

Consumers Energy

Data Scientist

Jackson, MI · On-site

Communicate data science outputs effectively and support the development of models and solutions ... Plan, organize, and manage resources and processes to achieve project or program objectives within ...

Consumers Energy

Data Scientist

Jackson, MI · On-site

Communicate data science outputs effectively and support the development of models and solutions ... Plan, organize, and manage resources and processes to achieve project or program objectives within ...

Consumers Energy Company

Data Scientist

Jackson, MI

Communicate data science outputs effectively and support the development of models and solutions ... Plan, organize, and manage resources and processes to achieve project or program objectives within ...

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

... data science projects, from scoping and modeling to operationalization and insight delivery. You ... will partner with clients, internal teams, and technical stakeholders to develop and deploy ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI

... data science projects, from scoping and modeling to operationalization and insight delivery. You ... will partner with clients, internal teams, and technical stakeholders to develop and deploy ...

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Contribute to projects that yield actionable insights the business can use to increase customer ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

... data science projects while liaising with clients to meet their needs * Providing leadership ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

... data science projects while liaising with clients to meet their needs * Providing leadership ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

... data science projects while liaising with clients to meet their needs * Providing leadership ... Collaborating with project management to plan work for delivery teams and verifying quality ...

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All JobsData Science Project Manager JobsData Science Project Manager Jobs in Michigan

Data Science Project Manager information

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$14

$50

$69

How much do data science project manager jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data science project manager in Michigan is $50.12, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $58.65 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Michigan? For Data Science Project Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Michigan look for? The top searched job categories for Data Science Project Manager jobs in Michigan are:
Data Science Project Manager jobs near you
Data Science Analyst

Data Science Analyst

System Soft Technologies

Detroit, MI • On-site

Contractor

Posted 29 days ago

Job description

Job Title: Senior Data Science Analyst
Location: 600 Lafayette East, Detroit, MI, 48226
Duration: 6 months contract
Job Description:
Required Tools:
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 (Top 3):
• 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
Experience: Minimum 2 years of relevant professional experience
Preferred Skills and Experience
• 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. Master's in related field is preferred.

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