Director, Data Science, DB Schenker, Germany
As a Director of Data Science in Global Data Strategy & Analytics, David is responsible for driving innovation to Schenker AG by finding intelligent AI solutions in Logistics that delivers business value to the company, empowering a team of talented Data Scientists in their daily work and facilitating cross-departmental collaboration with agile working methods. David holds MSc in Computer Science and PhD in Business and Management. Having spent almost a decade working on several Data Science challenges as a Machine Learning Engineer and later on Data Science Leader, David gained significant experience about how to deal with customer needs and satisfy them tailored solutions in various domains. Being a thought leader, David focuses on establishing a creative and trustful environment where individual talents can exploit their capabilities. David is also passionate about academic research, he holds several peer-reviewed scientific articles in Computer Science and Quantitative Finance, furthermore he is regular program committee member of the ACM Recommender Systems conference series.
David will share his experience with machine learning and AI solutions creating business value in logistics industry.