Principle Supply Chain Data Scientist

A Day in Your Life at MKS:

As a Manager, Supply Chain Data Scientist at the Digital Supply Chain Team, you will partner with Procurement, Category Management, Material Planning, Logistics, Finance, Lean Excellence, and IT to play in integral role in the Functional and Technical integration management of our supply chain digital enablement which aim to solve and improve some of the world’s most complex supply chain constraints and challenges. You will effectively introduce advanced analytics capability and provide analyzing data approaches to develop and execute analytics projects to enable supply chain operations. Parameters that may be examined will include assessment of analytics solutions, enable analytics solutions, execute data analytics and modeling and generate detailed reports to provide insight to senior leaderships to support decision making. In this role, you will report to the Director, Digital Supply Chain Transformation.

You Will Make an Impact By:

• Enabling analytics platform, data integration, and modeling to provide analytics capability to advance supply chain maturity.
• Collecting, cleaning, and analyzing supply chain data from multiple sources, ensuring data integrity and accuracy.
• Developing and maintaining dashboards and reports using Power BI or reporting tools to provide actionable insights into supply chain operations.
• Conducting detailed analysis to assess business operations data and supply chain performance.
• Collaborating with cross-functional teams, including Sourcing, Category Management, Procurement, Material Planning, Logistics, Finance, and IT, to identify and mitigate supply chain constraints, and to support Robotic Process Automation (RPA) initiatives.
• Contributing to data science and anayltics projects for supply chain optimization, leveraging predictive/prescriptive analytics and machine learning, for instance.
• Communicating risk mitigation action plans and improvement ideas to executive stakeholders.
• Travel Requirements: Up to 15 % of Travel is required.
  
  

Skills You Bring:

• Bachelor’s degree in data science, computer science, supply chain management or equivalent experience
• 8+ years of related experience
• Detailed knowledge of analytics and data analysis tools, platform, and solutions, with a strong proficiency in Power BI, Power Automate, Excel, and SQL. Experience with other BI tools (e.g., Tableau) is a plus.
• Experience with data science techniques and tools (e.g., AWS, Python, R, Azure AI Studio, machine learning frameworks) and extended knowledge of Gen AI application.
• Experience with data science techniques and tools (e.g., Python, R, machine learning frameworks) is highly desired.
• Proven communication skills to engage with senior leadership level.
• Ability to collaborate with global and cross-functional teams, with a proven track record of taking ownership of issues.
• Knowledge of or ability to learn details of the semiconductor industry.
• Proficiency in English.
  
  

Preferred Skills: (Optional)

• Extended business knowledge and business analytics experience with end-to-end supply chain operations are highly desired.
• Extended ERP (SAP, Oracle, or others) and advanced planning solution skills and experience are highly desired
• Experience manage global projects with Agile approaches from initiation to implementations.
  
  

Physical Demands and Working Conditions:

• Perform activities such as sitting, standing, or typing for extended periods of time
• Ability to remain in a stationary position for 90% of the time
• Must be able to communicate information and ideas so others will understand
• Must be able to exchange accurate information
• The ability to observe documents and details at close range (within a few feet of the observer)
• Operates in a [professional office and/or laboratory/manufacturing] environment
• Constantly operates a computer and other office productivity machinery
• Ability to observe documents and details at close range (within a few feet of the observer)