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) Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees. MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business. MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: [email protected] . If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role
As a Manager, Supply Chain Data Scientist at the Digital Supply Chain Team at MKS, you will collaborate with various departments such as Procurement, Category Management, Material Planning, Logistics, Finance, Lean Excellence, and IT to oversee the Functional and Technical integration management of the supply chain digital enablement projects. Your role will focus on leveraging advanced analytics capabilities to develop and execute analytics projects that enhance supply chain operations. You will be responsible for assessing analytics solutions, executing data analytics and modeling, and generating detailed reports to provide valuable insights to senior leadership for decision-making purposes. Your direct reporting line will be to the Director, Digital Supply Chain Transformation. In this role, you will play a crucial part in enabling analytics platforms, data integration, and modeling to elevate the maturity level of the supply chain. You will be tasked with collecting, cleaning, and analyzing supply chain data from multiple sources to ensure data accuracy and integrity. Additionally, you will develop and maintain dashboards and reports using tools like Power BI to derive actionable insights for improving supply chain operations. Your responsibilities will also include conducting detailed analysis to evaluate business operations data and supply chain performance, collaborating with cross-functional teams to identify and address supply chain constraints, supporting Robotic Process Automation (RPA) initiatives, and contributing to data science and analytics projects for supply chain optimization using predictive/prescriptive analytics and machine learning techniques. Effective communication of risk mitigation plans and improvement ideas to executive stakeholders will be a key aspect of your role. To be successful in this position, you should hold a Bachelor's degree in data science, computer science, supply chain management, or a relevant field, along with a minimum of 8 years of related experience. You must possess in-depth knowledge of analytics and data analysis tools such as Power BI, Power Automate, Excel, and SQL, with experience in other BI tools like Tableau considered a plus. Proficiency in data science techniques and tools like Python, R, machine learning frameworks, and Gen AI application is highly desired. Strong communication skills, the ability to collaborate with global and cross-functional teams, and a proactive approach to issue ownership are essential qualities for this role. Additionally, familiarity with the semiconductor industry and proficiency in English are required. Preferred skills for this role include extended business knowledge and experience in business analytics related to end-to-end supply chain operations, proficiency in ERP systems (e.g., SAP, Oracle) and advanced planning solutions, as well as experience in managing global projects with Agile methodologies from initiation to implementation. As part of the physical demands and working conditions, you should be comfortable with activities such as sitting, standing, and typing for extended periods. The role requires remaining in a stationary position for a significant portion of the time and effective communication of information and ideas. Operating in a professional office and/or laboratory/manufacturing environment, using a computer and other office machinery, and observing documents and details at a close range are also part of the job requirements. Please note that MKS follows a policy of recruiting individuals from diverse backgrounds. Certain positions may require access to controlled goods and technologies regulated by the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), making U.S. person status a necessity for applicants. U.S. persons are broadly defined as U.S. citizens, noncitizen nationals, lawful permanent residents, individuals granted asylum, and individuals admitted as refugees. MKS is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require a reasonable accommodation during the application or interview process due to a disability, please contact us at accommodationsatMKS@mksinst.com.,
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) Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees. MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business. MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: [email protected] . If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role