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Data Science Project Manager Jobs in Michigan (NOW HIRING)

The Manager of Data Science is responsible for coordinating the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner ...

As Manager of Data Science, you will lead a team of data scientists and analysts to deliver ... strategies, project plans, and deliverables • Guide the development of production-level model ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to solve complex business problems. You'll play a key role in shaping the direction of the Data Science ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Advanced project management skills * Experience with publications or conference presentations in a ...

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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:

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Manager of Data Science, you will lead a team of data scientists and analysts in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration.

The Manager of Data Science is responsible for coordinating the execution of end-to-end 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 scalable solutions that drive measurable business value.

What you'll do:

  • Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions

  • Lead the design and execution of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) solutions, including measurement strategy, model development, validation, and actionable insight delivery to inform media optimization and investment decisions

  • Lead and mentor a team of data scientists and analysts, fostering technical growth and cross-functional collaboration

  • Translate client goals into clear modeling strategies, project plans, and deliverables

  • Guide the development of production-level model pipelines using tools such as Databricks and Azure ML

  • Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications

  • Monitor and improve model performance, ensuring high standards for reliability and business relevance

  • Present complex analytical results to technical and non-technical audiences in a clear, actionable format

  • Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture

  • Promote best practices in model governance, data ethics, and responsible AI

What you'll need:
  • Minimum 5-7 years of experience in data science, analytics, or predictive modeling

  • Proven leadership experience leading analytics teams or high-impact data science projects

  • Strong programming skills in Python, R, or SAS for modeling and data analysis

  • Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)

  • Expertise in regression, classification, clustering, A/B testing, and audience segmentation

  • Hands-on experience with tools such as Databricks, Azure Machine Learning, and Snowflake strongly preferred

  • Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus

  • Experience designing or leading Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or other advanced marketing measurement frameworks is a strong plus

  • Proficiency with Tableau, Power BI, and Excel for data visualization and communication

  • Strong communication skills and the ability to translate complex technical findings into business insight

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred)

  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.