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Science Manager Jobs in Michigan (NOW HIRING)

As the Manager of Data Science, you will lead a team of data scientists to solve business problems, shape the Data Science organization's direction, and collaborate with leaders across the company.

Agricultural Science Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Agricultural Science Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Agricultural Science Tutor

Detroit, MI ยท Remote

$18 - $40/hr

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Data Science Tutor

Detroit, MI ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Earth Science Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and resource management. * Curriculum Awareness ...

Earth Science Tutor

Detroit, MI ยท Remote

$18 - $40/hr

Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and resource management. * Curriculum Awareness ...

Earth Science Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and resource management. * Curriculum Awareness ...

Data Science Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Science Teacher Part Time

Warren, MI ยท On-site

$45K - $58K/yr

A readiness to develop and apply a variety of best practices in the classroom, especially in the areas of instruction and classroom management. DUTIES AND RESPONSIBILITIES FOR SCIENCE TEACHER: * Plan ...

Science Teacher

Warren, MI ยท On-site

$45K - $58K/yr

POSITION: Science Teacher LOCATION: Chatterton Middle School WORK YEAR: 2026-2027 School Year ... and classroom management. Duties & Responsibilities: * Plan and deliver lessons aligned with ...

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Science Manager information

See Michigan salary details

$8

$22

$47

How much do science manager jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for science manager in Michigan is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $28.51 per hour, depending on experience, location, and employer.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What does a science manager do?

A science manager oversees scientific research projects, coordinates teams of scientists, and ensures that experiments and studies meet objectives and standards. They often manage budgets, develop strategies, and communicate findings to stakeholders, requiring strong leadership and knowledge of scientific methods and tools.

What are the most commonly searched types of Science jobs in Michigan?

The most popular types of Science jobs in Michigan are:

What cities in Michigan are hiring for Science Manager jobs?

Cities in Michigan with the most Science Manager job openings:

Infographic showing various Science Manager job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $47,769 per year, or $23 per hour.

Data Analytics Engagement Supervisor

Ford Motor Company

Dearborn, MI โ€ข On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 15 days ago


Job description


We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
In this position...
Ford Marketing Analytics is seeking a highly capable and technically grounded Data Science Manager to lead the Customer Modeling and Lifetime Value team. This LL6 leadership role will manage a team of 4-5 data scientists responsible for developing, deploying, and continuously improving customer propensity, predictive, prescriptive, and Customer Lifetime Value (CLV) models.
This team plays a critical role in enabling more personalized, effective, and measurable marketing activity across the enterprise. The team's work will support loyalty, retention, upsell, cross-sell, customer engagement, and marketing investment decisions, while helping Ford better understand the full value of its customer relationships.
The Data Science Manager will lead development of Ford's enterprise CLV framework: a central model and analytical foundation that brings together customer value streams across the company. This capability will help stakeholders understand the customer base, personalize communications and treatments, prioritize investments, and improve decision-making at both customer and portfolio levels.
This individual will combine strong data science and methodological expertise with the ability to translate complex technical work into clear business value. They will partner closely with stakeholders across Marketing, FCSD, Customer Experience, Ford Credit, Integrated Services, and other functions to establish priorities, drive adoption, and integrate modeling outputs into business processes. While this role is primarily focused on North America, it may also support related customer-modeling activities in Europe and other regions.
Responsibilities
What you'll do...
  • Lead and develop a team of 4-5 data scientists responsible for customer modeling, Customer Lifetime Value, and marketing decision-science capabilities.
  • Establish a high-performing, collaborative team culture that emphasizes technical rigor, innovation, accountability, continuous learning, and strong business partnership.
  • Coach, mentor, and support the career development and performance management of data scientists on the team.
  • Lead the development and enhancement of Ford's enterprise Customer Lifetime Value modeling framework, including retail and fleet/commercial CLV capabilities.
  • Define and guide a portfolio of predictive and prescriptive customer models, including propensity, retention/churn, loyalty, purchase, conquest, service, upsell, cross-sell, next-best-action, and segmentation use cases.
  • Drive the use of causal inference, experimentation, marketing measurement, and uplift modeling to evaluate the incremental impact of marketing programs and customer treatments.
  • Partner with business stakeholders to translate strategic objectives and ambiguous business questions into clear analytical problems, scalable data science products, and actionable recommendations.
  • Help establish the customer-modeling roadmap in partnership with Marketing Analytics leadership, balancing strategic priorities, business needs, technical feasibility, and expected value.
  • Ensure the team manages the full model lifecycle, including business problem definition, data sourcing, model development, validation, deployment, performance monitoring, refreshes, documentation, and adoption.
  • Provide technical oversight and methodological guidance through model-design reviews, code reviews, validation processes, and data-science best practices.
  • Ensure models and analytical products meet high standards for quality, reproducibility, interpretability, performance, privacy compliance, and appropriate governance.
  • Partner with technical, product, data engineering, and platform teams to enable scalable deployment and access to CLV and customer-modeling outputs through tools, interfaces, and business workflows.
  • Communicate complex modeling concepts, results, limitations, and recommendations clearly to technical and non-technical audiences.
  • Build strong relationships with stakeholders across Marketing, FCSD, CX, Ford Credit, Integrated Services, and other enterprise partners to drive broad adoption and measurable business impact.
  • Drive continuous enhancement of data science practices through emerging methods, tools, and responsible application of Generative AI capabilities.
  • Provide an excellent example of and expectation for Ford+ behaviors within the Marketing Analytics team.
  • Implement "Close the Loop," OKR, and Performance+ objectives and processes within Marketing Analytics.

Qualifications
You'll have....
  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Operations Research, Finance, Marketing Analytics, or a related quantitative field.
  • 5+ years of experience in data science, advanced analytics, customer analytics, marketing analytics, decision science, or a related field.
  • 2+ years of experience leading technical projects, initiatives, or teams.
  • Strong experience applying predictive modeling and statistical methods to business problems.
  • Strong proficiency in Python and SQL.

Even better, you may have...
  • Advanced degree in Data Science, Statistics, Economics, Computer Science, Engineering, Operations Research, Finance, Marketing Analytics, or a related field.
  • 10+ years of relevant data science, advanced analytics, customer analytics, or marketing analytics experience.
  • 5+ years of experience leading, coaching, or managing technical teams.
  • Direct experience developing, operationalizing, or improving Customer Lifetime Value models.
  • Experience with financial modeling, customer economics, profitability analysis, or customer value measurement.
  • Deep expertise in causal inference, uplift modeling, treatment-effect estimation, experimentation, or marketing optimization.
  • Experience developing customer models in support of loyalty, acquisition, retention, CRM, personalization, cross-sell, upsell, or next-best-action programs.
  • Experience with cloud-based analytics and machine-learning platforms, particularly Google Cloud Platform.
  • Familiarity with model deployment, MLOps, model monitoring, production analytics, and scalable data-science product development.
  • Experience applying Generative AI tools and capabilities to improve data-science workflows, analytical products, or business processes.
  • Experience in automotive, mobility, financial services, subscription businesses, MarTech, CRM, or marketing optimization.
  • Demonstrated success driving adoption of analytical products across complex organizations and integrating model outputs into business decision processes.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
โ€ข Immediate medical, dental, vision and prescription drug coverage
โ€ข Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
โ€ข Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
โ€ข Vehicle discount program for employees and family members and management leases
โ€ข Tuition assistance
โ€ข Established and active employee resource groups
โ€ข Paid time off for individual and team community service
โ€ข A generous schedule of paid holidays, including the week between Christmas and New Year's Day
โ€ข Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid with a requirement to be onsite four or more days per week.
#LI-Hybrid
#LI-VO1
About Us
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
About the Team
We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford's strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982