1

Data Science Project Manager Jobs in Michigan (NOW HIRING)

Required : • 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers. • ...

Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility ...

... end-to-end data science projects, translating complex business problems into analytical solutions, and collaborating with various stakeholders to deliver impactful data-driven outcomes.

Required : • 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers. • ...

... 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 ...

... 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 ...

... data science challenges. • Collect, clean, and explore large datasets to uncover trends and ... projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and ...

New

... data science challenges. • Collect, clean, and explore large datasets to uncover trends and ... projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and ...

New

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

next page

Showing results 1-20

Data Science Project Manager information

See Michigan salary details

$14

$50

$69

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

As of May 31, 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 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.

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 a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

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 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 Analyst

Contractor

Posted 4 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.