Airbus

Airbus is a European multinational corporation that designs, manufactures, and sells civil and military aeronautical products worldwide. In addition to its primary civil aeroplane business, the company has two divisions for other products and services: Defence and Space and Helicopters, the latter being the largest in its industry in terms of revenues and turbine helicopter deliveries

Airbus Hamburg, Germany
18/08/2018
Full time
Data Scientist (f/m) Airbus Hamburg Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space. Description of the job We at the Airbus Digital Transformation Office (DTO) are looking for a Data Scientists (f/m) to join the Analytics Accelerator in Hamburg at the earliest possible start date. We are leading the digital transformation of Airbus, leading key digital initiatives, defining the group data strategy and supporting cultural change towards more digital and agile ways of working. The Analytics Accelerator is a central group of data scientists in the DTO. Its mission is to lead the most valuable and challenging data science projects across all aspects of the business. It also helps to build up data science expertise, the organisation, and it pioneers new ways of working. In this role, you will face a challenging and exciting personal environment as well as the opportunity to grow within the DTO and Airbus. Tasks & accountabilities What will you do? You will lead and implement data science projects as part of a rapidly growing and evolving team that works at the cutting-edge of applied data science You will have a large degree of autonomy and high visibility to top management You will build integrated data sets, analyse data sources (ML/AI), and build compelling visualisations (typically Python, R, Spark) You will visualise and communicate results (e.g. in interactive dashboards) to project stakeholders, including business experts and decision makers Furthermore, you will champion digital transformation, presenting and communicating best practises across Airbus. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Required skills Who are you? You have a bachelor’s degree in Computer Science, Engineering, Finance or equivalent You bring hands-on working experience as a data scientist You have project management experience, including delivering at an operational level Furthermore, you have solid experience in understanding, structuring, and integrating data (e.g., fields, data quality, ranges, volume, etc.) You can demonstrate significant knowledge using inferential statistics/machine learning (e.g. statistical testing, clustering, PCA, SVM, random forests, regression, neural networks) Ideally, you understand big data system architectures (e.g., HDFS, Spark) or have experience working with unstructured data (e.g. text, images, video) You are able to understand business processes and build up business cases You bring significant working experience in the relevant languages such as R, Python, Java, Matlab and/or Spark and data visualisation tools e.g. RShiny, Spotfire and/ or Tableau You have a structured, self-organised and collaborative way of working with a strong team spirit You are a strong communicator towards diverse audiences combined with strong networking skills You are comfortable working in a rapidly changing environment and you have personal resilience to challenge the status quo You speak English at negotiation level; German language skills would be a plus You are willing to take limited business trips within Europe (a few days per month)
Airbus Munich, Germany
18/08/2018
Full time
Data Science Research Project Leader (f/m) Airbus Group Corporate Functions Munich Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space. Description of the job The Airbus Chief Technology Office (CTO) is looking for 2 Data Science Research Project Leaders to join our Central Research & Technology - Data Science department in Ottobrunn, Germany. With your creative and analytic mind, you will use your unique expertise to conduct research projects which realize the technology needs for generation after next products. Tasks & accountabilities The principle responsibilities of the roles can be summarized as follows: To demonstrate technical leadership and to champion the development of chosen technologies, actively contributing to the research projects within their field. To be able to efficiently initiate, manage and close projects often in a complex environment. To motivate and manage internal and external resources, realize the potential of external capabilities for the good of the project by efficient supply chain management. To use the trade-off between make/buy and make/partner to achieve best value for money result. To manage stakeholder engagement and effectively communicate the outcomes of the projects conducted. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Required skills Your Boarding Pass ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ Technical background in Computer Science and/or Applied Mathematics. You will need to demonstrate experience in one or more of the following fields: Data Structures & Storage, Data Analytics & Machine Learning, Data Visualization & Presentation. A relevant Project Management background is a prerequisite, preferably in a complex environment. Ability to develop new applications in Engineering, Manufacturing and Services. Ability to assess any breakthroughs in this field (e.g. artificial intelligence, AR/VR) with a good knowledge of commercial and open source methods and tools. Good knowledge of the State of the Art in the relevant fields and understanding of how this can influence the technical needs for future product generations. Ability to ensure the research is conducted in a manner that is compliant with company procedures and that knowledge generated is protected. Negotiation level in English. Knowledge of German would be appreciated. Especially ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ Entrepreneurial spirit, problem solving mindset. Good communication skills, ability to influence and transmit knowledge into the stakeholder community. Ability to work as part of a complex and diverse team with the willingness and desire to build a strong personal network to support the team's ability to achieve objectives in the most efficient manner.
Airbus Munich, Germany
18/08/2018
Full time
Software & Data Science (f/m) Airbus Defence and Space Ottobrunn Our roots are in Europe, the world is our home. Airbus is a global leader in aeronautics, space and related services. We offer the most comprehensive range of passenger airliners from 100 to more than 600 seats as well as we are Europe's number one space enterprise and the world's second largest space business.   Our people work with passion and determination to make the world a more connected, safer and smarter place.   Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space. We are Airbus – We make it fly   And to achieve our goals and excellence we need you! Description of the job For Airbus in Munich we are looking for various talents in Software Science, Data Science and Software Engineering Tasks & accountabilities What are we offering? Do you want to actively contribute to the research projects within their field and understand the value that they can deliver to future products and processes? Do you want to work with State of the Art technologies in the relevant fields and understand how this can influence the technical needs for future product generations? Are you eager to be involved in interesting, challenging and future oriented projects in the aeronautic field? You are looking for working in a multinational environment and in a transnational company? This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Required skills What do you offer? Do you have experience in Human-Machine interface technologies and/or Cognitive Modelling and its application in tech industry and/or computer science? Experience in application of Human Factors on digital technologies? Competence in one or more of the following fields: Data Structures & Storage, Data Analytics & Machine Learning, Data Visualization & Presentation. Ability to develop new applications in Engineering, Manufacturing and Services. You have strong competences in one or more of the following fields: Systems Requirements and Architecting; Systems Engineering Methods and Tools; System Validation and Verification.