Global Quality Data Scientist

Markem-Imaje is a trusted world manufacturer of product identification and traceability solutions, offering a full line of reliable and innovative inkjet, thermal transfer, laser, print and apply label systems. Markem-Imaje delivers fully integrated solutions that enable product quality and safety, regulatory and retailer compliance, better product recalls and improved manufacturing processes.

Are you a specialist in data analysis with extensive experience in collecting, transforming and analyzing data as well as communicating findings across the organization?

​In this role, you’ll be… Pivotal in the execution of a three years roadmap to achieve a more preventive, customer focused and data driven Quality approach at Markem-Imaje. This role will specifically focus on Data Analytics and statistical analysis related to Product, Service, Process quality and performance and will be influential in improving those. This position is reporting directly to the Global Quality Shared Services Manager.

You’ll have an opportunity to… work in a cross-functional environment, partnering closely on all levels of the organization to ultimately improve the quality and performance of our products, services and processes using your data analysis, machine learning-based tools and IT skills.

You should possess… a passion for leveraging data to drive decision making across the business and be a forward-thinking individual to look beyond the immediate.

Great package including bonus, career growth and great benefits.

Principal Activities / Duties / Responsibilities:

You will be responsible for managing, extracting, transforming, reporting and visualizing data from a wide variety of sources as it relates to the performance of our products, services and key business processes. Your main responsibilities will include:

Experience & General Skills:   

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.

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