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Manager Data Scientist Jobs in Michigan (NOW HIRING)

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Comfortable collaborating with management, engineering, and cross-functional teams to bring ...

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... management leases Tuition assistance Established and active employee resource groups Paid time off ...

Data Scientist

Dearborn, MI · On-site +1

$107.85K - $182.34K/yr

... SQL for querying, managing, and optimizing relational databases. 3. Applying mathematical ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Lead and manage the full lifecycle of data science and AI solutions, starting with the engineering of the data model to serve as the foundation. * Develop and deploy predictive models, recommendation ...

Mentors the team of data scientists by guiding their professional development in conjunction with the team manager * Actively researches new technologies in related subjects and supports the ...

Mentors the team of data scientists by guiding their professional development in conjunction with the team manager * Actively researches new technologies in related subjects and supports the ...

Infrastructure Management: Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows. * Collaboration: Working with data scientists to define AI ...

As an Applied Data Scientist within the Advanced Driver Assist Systems (ADAS) domain, you will ... Define and manage data collection requirements for the ADAS organization, addressing both field ...

We're seeking a Senior Data Scientist to provide advanced analytics and data science support for ... Strong collaboration, facilitation, and stakeholder-management skills * Excellent written and ...

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Showing results 1-20

Manager Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do manager data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a Manager Data Scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What are Manager Data Scientists?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Michigan? The most popular types of Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Manager Data Scientist jobs? Cities in Michigan with the most Manager Data Scientist job openings:
Data Scientist 2

Data Scientist 2

Denso

Southfield, MI • On-site

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


DENSO rating

7.7

Company rating: 7.7 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

9th of 44 rated automakers


Job description

Job Description
JOB SUMMARY:
Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise. This role will work across business functionssuch as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance. The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and operationalize models from concept through production.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Design, develop, and maintain statistical, machine learning, and AI models that extract actionable business and technical insights from large, complex datasets.
  • Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining.
  • Collaborate with business and engineering stakeholders to conduct needs assessments and requirements gathering, translating business questions into analytical solutions.
  • Perform advanced data analysis, data preparation, and model validation; translate insights into clear, actionable recommendations for management and internal customers.
  • Deploy and operationalize models using MLOps best practices, including versioning, monitoring, performance tracking, and continuous improvement.
  • Prepare and deliver executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences.
  • Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives.
  • Support training and enablement of associates on new analytics tools, systems, and processes.
  • Apply statistical and analytical expertise to advance regional and enterprise-wide digital transformation initiatives.
  • Stay current with industry trends and emerging technologies in data analytics, machine learning, and AI through ongoing learning, conferences, and training.
  • Perform other duties as assigned.

QUALIFICATIONS:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field
  • 2-5 years of relevant experience in data science, analytics, machine learning or AI
  • Automotive, manufacturing, or industrial experience preferred.

SKILLS AND ABILITIES:
  • Proficiency in Python and SQL; experience with R or Java a plus.
  • Experience working with large-scale datasets, databases, and distributed data processing environments.
  • Hands-on experience with cloud-based data science platforms, preferably Databricks and lakehouse architectures.
  • Understanding of MLOps practices, including model deployment, monitoring, retraining, and lifecycle management.
  • Familiarity with data modeling, feature engineering, and analytics pipelines.
  • Exposure to IoT and industrial data concepts (e.g., sensor data, APIs, OPC UA/DA, streaming data) is a plus.
  • Knowledge of BI and visualization tools to support insight delivery.
  • Strong analytical and problem-solving skills, with the ability to independently develop innovative solutions to complex business challenges.
  • Ability to translate data science concepts into practical, production-ready solutions.
  • Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into real-world applications.
  • Excellent written, verbal, and presentation skills, with the ability to communicate effectively at all organizational levels, including senior leadership.
  • Demonstrated ability to build strong working relationships and function effectively in cross-functional teams.
  • Continuous improvement mindset with a focus on quality, scalability, and business value.
  • Ability to apply structured process improvement and quality methodologies to personal work and to support others in identifying gaps and improvements.

BENEFITS SUMMARY:
  • Medical, Dental, Vision, Prescription Drug plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer Opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Annual Salary: $90,000 - $113,000

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