Supply Chain Data Science Manager

Requisition

About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life  the only 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, Kitchen Aid, Jenn Air, Maytag, Amana, Brastemp, Consul, and In Sink Erator . 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

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.

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.

• 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.

• 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.

• 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.

• Advanced
  
  Education:
  
  Master’s degree in Engineering, Data Analytics, Statistics, or Computer Science.
• Cloud & ERP
  
  Experience:
  
  Proficiency with GCP (Big Query, 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.

• 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.

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.