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Data Science Manager Jobs in Michigan (NOW HIRING)

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Ability to translate data science concepts into practical, production-ready solutions. * Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Ability to translate data science concepts into practical, production-ready solutions. * Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our ... You are comfortable using tools like Jira to manage tasks within a product development sprint cycle.

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 and conducting testing. * Participate in the development of modeling presentations and present ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

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 ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

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 ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Responsible for designing, building ...

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

Data Science Manager information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data science manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science manager in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Data Science Manager jobs in Michigan? For Data Science Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Michigan look for? The top searched job categories for Data Science Manager jobs in Michigan are:
What cities in Michigan are hiring for Data Science Manager jobs? Cities in Michigan with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.
Data Scientist 2

Data Scientist 2

Denso

Southfield, MI • On-site

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

DENSO rating

7.4

Company rating: 7.4 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

18th of 44 rated automakers

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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