Responsible for monitoring and optimizing the internal network mapping, supporting station openings, analyzing capacity, maintaining network parameters, and serving as the liaison between IT and operations.
Responsibilities
Day to day monitoring of the network mapping vs the operational reality
Support the station opening process by assessing requirements and proposing optimal solutions
Perform analysis of network capacity to drive improvements and highlight opportunities
Maintain integrity of network parameters such as transit time and sort time
Serve as the pivotal point between IT and OPS for internal network reporting and new IT innovation
Requirements
Bachelor’s degree in Industrial Engineering, Operations Research, Logistics, Transportation, Advanced Analytics, or a related field
Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
Locations (5)
Alcobendas, Madrid, Spain
Madrid, Madrid, Spain
Gdansk, Pomerania, Poland
Budapest, Budapest, Hungary
Frankfurt, Bavaria, Germany
Responsibilities
Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
Locations (5)
Alcobendas, Madrid, Spain
Gdansk, Pomerania, Poland
Madrid, Madrid, Spain
Budapest, Budapest, Hungary
Frankfurt, Bavaria, Germany
Responsibilities
Build pragmatic, scalable, and statistically rigorous solutions to various challenges from embedded solutions, autonomous cars, industrial applications, robotics and retail.
Work with data and tasks related to computer vision, statistics, classical artificial intelligence, SLAM, robotics.
Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations
Build and maintain data driven optimization models, experiments, forecasting algorithms and capacity constraint models
Leverage tools like Python, Tensorflow, Torch
Requirements
Degree in the field of quantitative analysis (e.g. Computer Science, Robotics, Mathematics, Statistics or other related field)
