Job Detail

SWISS launched the performance project ‘Precise’ in 2018 within the Operations Planning & Control (S/Z) department. ‘Precise’ was set up to stabilize daily flight operations and ground processes on the one hand, and to create the necessary conditions for an optimum control basis on the other. ‘Precise’ ensures the necessary framework conditions for efficient, regular and punctual flight operations. ‘Precise’ consists of two important pillars: resilience and predictive steering.

As a data scientist, you play a central role in Precise's predictive steering. You will bring together operational data from various external and internal systems, define, analyze and model the necessary data sets and make suggestions for improving processes and making the best possible use of existing resources.

Since even the smallest changes in the internal and external framework conditions affect the efficiency of daily operations, the existing data and processes must be continuously evaluated and analyzed. This in order to be able to implement necessary adjustments and corrections in a timely and efficient manner.

Your duties

• Data analysis and data management in data science projects, from the identification of requirements to the modelling of analyses to the presentation of results


• Development of statistical (descriptive and predictive) analyses with the help of current machine learning and data mining methods


• Development of evaluations and presentation of necessary performance indicators of the daily flight operation


• Conception, development and implementation of new analysis concepts and modern algorithms


• Analysis of problems based on existing data and development of possible solution fields


• Analysis of processes and development of suggestions for improvement in consideration of the given framework conditions


• Maintenance and further development of existing analysis and simulation tools

Your profile

• Several years of practical experience in a comparable position


• Distinct analytical perceptiveness and networked thinking


• Relevant experience in the field of multivariate analysis methods Predictive Analytics, Machine Learning and Data Mining


• Mastery of a common analytics toolbox, in particular R or Python (including relevant libraries) and ideally experience with SQL, Apache Spark, Hadoop, MapR as well as cloud environments such as AZURE, AWS or Public Cloud databases TensorFlow, PyTorch and XGBoost are no foreign words you


• Ability to understand processes from start to finish, especially from a business perspective


• Service-oriented personality with a quick grasp of things


• Proactive personality with high self-motivation and independence


• Problem-solving personality


• Ability to adapt quickly to change and take on new tasks


• Accuracy and flexibility


• Good interpersonal and communicative skills, team player

Details

Type of contract: Base Level

Employment level: 80-100%

Department: Program Precise 

Work place: Zurich, Kloten

Starting date: As soon as possible, or upon agreement

Application deadline: August 3rd, 2019

Contact

Program Precise: Mr Oliver Rüegg & Mr Kadir Göcer  

Human Resources: Mr Adrian Bracher

Recruiting Support: Tel.: +41 44 564 44 22