46 data science English-speaking jobs in Sittard

While we work in science, there’s no magic formula to how we do it. ... Data Governance & Data Quality: Establish robust data governance and implement data quality rulesets ... , validation, testing and data harmonization. ... Data & Information Architect – SAP EWM Logistics & Warehousing Today, Lonza is a global leader in life ... and SAP EWM including workflow automation and data governance in S/4HANA and SAP MDG.

While we work in science, there’s no magic formula to how we do it.

While we work in science, there’s no magic formula to how we do it. ... Key responsibilities: Craft advanced experimental plans, lead their execution, evaluate data, and write

While we work in science, there’s no magic formula to how we do it.

While we work in science, there's no magic formula to how we do it. ... be joining a world-class team committed to improving the lives of millions through innovative life science

While we work in science, there's no magic formula to how we do it.

Requirements Associate’s degree in a technical field (e.g., Information Technology, Computer Science) ... Minimum of 3-5 years of hands-on experience as a Data Center Technician, Field Engineer, or similar role ... Strong knowledge of data center best practices, including cabling standards (e.g., fiber, copper), racking ... technical presentations for prospective customers, effectively communicating the value proposition of our data

While we work in science, there’s no magic formula to how we do it. ... Generate, control, and evaluate documentation, data, and process insights. ... Analytical mindset with strong problem-solving and data interpretation abilities. ... What we are looking for Bachelor’s degree (or equivalent) in a relevant field such as Pharmaceutical Science

While we work in science, there’s no magic formula to how we do it. ... Analyze data and develop actionable process improvement initiatives.

While we work in science, there’s no magic formula to how we do it.

While we work in science, there’s no magic formula to how we do it.

While we work in science, there’s no magic formula to how we do it.

While we work in science, there’s no magic formula to how we do it.

While we work in science, there’s no magic formula to how we do it. ... Analyze market trends and customer data to identify growth opportunities and inform go-to-market strategies

Educational Background: Bachelor’s degree in Project Management, Computer Science, Information Technology ... Our remote hands support ensures smooth operations within data center facility around the clock. ... About Us: Reboot Monkey offers seamless data center management and colocation services, handling collocated ... We pride ourselves on optimizing and managing data center environments efficiently, providing reliable ... Regulatory Compliance: Ensure all data center projects comply with local, national, and international

, Materials Science Expertise in fiber reinforced thermoplastic polymers, including processing and characterization ... multidisciplinary project teams Qualifications At least Bachelor’s Degree / Master in Chemistry, Applied Science

materials science field We're looking for a team player who is able to work with and over various ... PhD, Master Degree or equivalent experience in polymer science, polymer chemistry or physics or a similar ... related key raw materials Generate IP and gatekeeper on relevant competitor IP portfolio Steer and align science

Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. ... happen A chance to impact millions of consumers every day – sustainability embedded in all we do A science

Requirements: Experience: Associate's degree in a technical field (e.g., Information Technology, Computer Science ... Minimum of 3-5 years of hands-on experience as a Data Center Technician, Field Engineer, or similar role ... Relevant Skills: Strong knowledge of data center best practices, including cabling standards (e.g., fiber ... technical presentations for prospective customers, effectively communicating the value proposition of our data

smoothly Recording used products and raw materials Measuring, weighing, adjusting, and documenting data