Job Description

Data Scientist at DSP- Process Optimization Job Location: Pune 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 growing Vanderlande Technology Department on its journey to become more data driven If so, then join our Digital Services team! Your Position Asa research-oriented data scientistyou will be researching and exploring solutions within the process optimization team. You will work with experts, engineers and other end users to understand and translate their needs into proposals for data solutions that can improve process performance and be provided as a service. You will explore the feasibility of thesesolutions and share the learning with the rest of the company and the product team. Your responsibilities: You will participate in 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 and enhancing our clients\' operations and decision-making processes through rigorous research and cutting-edge data science techniques Participate or support in productizing and deploying algorithms 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 other locations to share experiences and learn from each other Your Profile : You much have a Master\'s degree and preferably a PhD in Data Science, Computer Science, Statistics, or a related field. Minimum 4+ years of relevant work experience as a Data Scientist is must. You have a strong expertise in event knowledge graphs, process mining, 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 according to CRISP-DM cycles Experience working with colleagues located in different parts of the world is a plus Experience with Spark (PySpark or Scala or Java) is a plus Our ML (Machine Learning) systems are written in Python, using libraries like pandas, scikit-learn and TensorFlow. The ML systems run on AZURE. Experience with a similar stack is a plus You are fluent in English

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