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Data 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.

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 ...

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 ...

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

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

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

... data science manager What Sets You Apart - Bachelor's Degree in Accounting, Business Analytics, Analytics, Software Engineering, Computer Engineering preferred - Ability to implement AI thinking in ...

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

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$27K

$84.7K

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How much do data science manager jobs pay per year?

As of Jun 10, 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 is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

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.

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 focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

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.

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 cities in Michigan are hiring for Data Science Manager jobs? Cities in Michigan with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Michigan as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.

Supply Chain Data Science Manager

Whirlpool

Benton Harbor, MI • On-site

Full-time

PTO

Posted 18 days ago


Whirlpool rating

7.5

Company rating: 7.5 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

74th of 139 rated electronics manufacturers


Job description

Requisition ID: 68538
About Whirlpool Corporation
Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As theonly major U.S.-based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com.
The team you will be a part of
The Data Science team is responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating result.
This role in summary
Whirlpool is seeking a qualified candidate to fill a Data Science Manager position within the Supply Chain Analytics team. This role will be located at our Riverview Campus, in Benton Harbor, MI.
We are looking for a hands-on leader to drive our supply chain advanced analytics strategy and implementation. You will lead a small team to transform complex data into actionable insights, moving our supply chain from descriptive reporting to predictive modeling and optimization. You will champion the development of high-value predictive models for production planning, inventory management, demand planning, order management, warehousing, and logistics.
Your responsibilities will include
Strategy and People Leadership
  • Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design).
  • Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact.
  • Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment.

Technical Execution and Innovation
  • End-to-End Predictive Modeling: Develop and automate full-cycle predictive modeling workflows using Python, Alteryx, and GCP-extracting data from sources (SAP HANA, GCP) to solve supply chain challenges and integrating results into execution systems (SAP, Anaplan), data warehouses and BI dashboards (Tableau, Looker).
  • GenAI & Innovation: Lead the exploration of Large Language Models (LLMs) and Machine Learning (via Vertex AI) to automate business processes and generate novel insights.
  • Data Products & Visualization: Oversee the creation of automated reporting pipelines and intuitive dashboards (Tableau, Looker) that empower end-users to make data-driven decisions based on modeling outputs.

Minimum requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • 5+ years of total experience in data analytics, data science, or data engineering.
  • 2+ years of experience leading people or managing complex technical projects.
  • Strong proficiency in SQL for complex data extraction and manipulation.
  • Strong proficiency in Python for statistical modeling and machine learning.

Preferred skills and experiences
  • Advanced Education: Master's degree in Engineering, Data Analytics, Statistics, or Computer Science.
  • Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA.
  • Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics).
  • Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation.
  • Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders.
  • Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.

Additional information
Whirlpool's Ways of Working
Our goal is to provide an environment that helps you bring your best to Whirlpool every day. While employees in this role work in-person Monday through Friday. We offer flexibility and industry-leading time-off benefits that will help you balance what's important at work and at home, including:
  • Always On Flexibility - You will have the autonomy to manage personal, family, and outside-of-work commitments as needed.
  • Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.
  • Sabbatical - Four weeks paid leave after every five years of service.

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Connect with us and learn more about Whirlpool Corporation
See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube.
Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.

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