Senior Data Scientist

<h3>Job Title</h3>Senior Data Scientist<p></p><h3>Job Description</h3><p><span><span>Vanderlande provides baggage handling systems for 600 airports around the globe, capable of moving over 4 billion pieces of baggage around the world per year. For the parcel market our systems handle 52 million parcels per day. All these systems generate data. Do you see a challenge in building models that can enable data-driven services for our customers using that data? Do you want to contribute to the fast</span><span>-</span><span>growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service </span><span>Platform</span><span> team!</span></span><span><span> </span></span><span> </span></p><p><span><span> </span></span><span> </span></p><p><b><span>Your Position</span></b><span><span> </span></span><span> </span></p><p><span><span>You will work as a Data </span><span>Scientist</span><span> in the </span><span>Process Optimization</span><span> team. This hybrid</span><span>,</span><span> multi-cultural team already </span><span>has </span><span>Data scientists, Data Engineers, a DevOps engineer, a QA engineer, an Architect, an UX designer, a Scrum Master</span><span>,</span><span> and a Product Owner. </span></span><span> </span></p><p><span><span>You will work with </span><span>domain</span><span> experts, engineers</span><span>,</span><span> and other end users to understand and translate their needs into proposals for data </span><span>services </span><span>to</span><span> improve process performance</span><span>.</span><span> You will explore the feasibility of these solutions and share the learning with the </span><span>team and the </span><span>rest of the company</span><span>.</span></span><span> </span></p><p><span><span>In your role, </span><span>you will</span><span> work </span><span>flexibly </span><span>on </span><span>analyzing data, creating </span><span>models</span><span> </span><span>and</span><span> testing the results</span><span>.</span><span> </span><span>You will discuss</span><span> </span><span>the conclusions you reach</span><span> </span><span>with</span><span> users and customers</span><span>, to continuously improve the insights that your models provide.</span></span><span> </span></p><p><span> </span></p><p><b><span>Your responsibilities:</span></b><span><span> </span></span><span> </span></p><ul><li><p><span><span>You will </span><span>participate</span><span> in</span><span> and lead part of</span><span> the </span><span>research and development</span><span> of our products and services by designing models and developing algorithms to solve real world problems</span></span><span> </span></p></li></ul><ul><li><p><span><span>You will work together with your team on developing AI-enhanced process mining techniques, data driven decision support and anomaly detection</span><span>-</span><span>based solutions</span></span><span> </span></p></li></ul><ul><li><p><span><span>You collaborate with engineering and domain experts throughout the company </span><span>to </span><span>enhanc</span><span>e</span><span> our clients' operations and decision-making processes through rigorous research and </span><span>cutting-edge</span><span> data science techniques</span></span><span> </span></p></li></ul><ul><li><p><span><span>You will </span><span>p</span><span>articipate</span><span> </span><span>in productizing and deploying algorithms</span></span><span> </span></p></li></ul><ul><li><p><span><span>You will </span><span>s</span><span>tay</span><span> at the forefront of research advancements in data science, process mining, and event knowledge graphs, and proactively pioneer new research approaches to enhance our offerings</span></span><span> </span></p></li></ul><ul><li><p><span><span>You work together with your fellow data scientist </span><span>located</span><span> in the Netherlands as well as </span><span>colleagues from </span><span>other locations to share experiences and learn from each other</span><span> </span></span><span> </span></p></li></ul><p></p><p><b><span>Your Profile</span></b><span><span> </span></span><span> </span></p><ul><li><p><span><span>You </span><span>m</span><span>ust</span><span> have at least a </span><span>Master’s degree in </span><span>Data Science</span><span> or</span><span> Computer Science</span></span><span> </span></p></li></ul><ul><li><p><span><span>You have a s</span><span>trong </span><span>expertise</span><span> in process mining</span><span> or </span><span>process </span><span>optimization</span><span> and data analysi</span><span>s for </span><span>identifying</span><span> process anomalies, process improvement and/or </span><span>optimizing</span><span> processes</span></span><span> </span></p></li></ul><ul><li><p><span><span>You have </span><span>a research</span><span>-</span><span>oriented mindset and </span><span>extensive knowledge of data science which you can </span><span>demonstrate</span><sp