at Vanderlande
Full TimeVanderlande 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-growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service Platform team!
Your Position
You will work as a Data Scientist in the Process Optimization team. This hybrid, multi-cultural team already has Data scientists, Data Engineers, a DevOps engineer, a QA engineer, an Architect, an UX designer, a Scrum Master, and a Product Owner.
You will work with domain experts, engineers, and other end users to understand and translate their needs into proposals for data services to improve process performance. You will explore the feasibility of these solutions and share the learning with the team and the rest of the company.
In your role, you will work flexibly on analyzing data, creating models and testing the results. You will discuss the conclusions you reach with users and customers, to continuously improve the insights that your models provide.
Your responsibilities:
You will participate in and lead part of the research and development of our products and services by designing models and developing algorithms to solve real world problems
You will work together with your team on developing AI-enhanced process mining techniques, data driven decision support and anomaly detection-based solutions
You collaborate with engineering and domain experts throughout the company to enhance our clients' operations and decision-making processes through rigorous research and cutting-edge data science techniques
You will participate in productizing and deploying algorithms
You will stay 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
You work together with your fellow data scientist located in the Netherlands as well as colleagues from other locations to share experiences and learn from each other
Your Profile
You must have at least a Master’s degree in Data Science or Computer Science
You have a strong expertise in process mining or process optimization and data analysis for identifying process anomalies, process improvement and/or optimizing processes
You have a research-oriented mindset and extensive knowledge of data science which you can demonstrate through your work experience, relevant degrees, or personal projects
You are experienced in solving real-world problems with data science techniques
You are familiar working with CRISP-DM cycles
You have knowledge and experience with MLOps (E2E Data and Machine Learning Pipelines)
You are familiar working with Git
Experience working with colleagues located in around the world is a plus
Experience with Spark (PySpark or Scala or Java) or Databricks is a plus
Our ML (Machine Learning) systems are written in Python, using libraries like pandas, scikit-learn, MLFlow and TensorFlow. The ML systems run on Azure. Experience with a similar stack is a plus.
Experience in event knowledge graphs is a plus
You are fluent in written and spoken English
What we offer
In the challenging and responsible position of Senior Data Scientist, you will have the chance to make a significant contribution to industry-leading projects and be connected to our dedicated people and customers. We offer a position in an informal, international and professional working environment with a lot of scope for personal development. By joining our profitable and growing company you will be able to reach your goals and focus on your future.
This position offers a competitive salary range of € 5400 to € 6250 gross per month (excluding 8% holiday allowance). Through exceeding performance expectations, you even have the possibility to grow outside this scale.
On top of your fixed salary you’ll receive the following secondary benefits:
Contact
Are you interested in this position? Then apply now directly on our workday vacancy link with your resume.
PS: Due to process compliance, we cannot process email applications. Kindly use the correct vacancy link to apply for this vacancy
Diversity & Inclusion
Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regards to race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
