Data Scientist (f/m) for Predictive Maintenance

Job description

Data Scientist (f/m) for Predictive Maintenance

Airbus Hamburg

Airbus is a global leader in aeronautics, space and related services. In 2016, it generated revenues of € 67 billion and employed a workforce of around 134,000. 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

What does your new challenge look like?

As a Data Scientist (f/m) for Predictive Maintenance, you will strengthen our Condition Monitoring & Data Management department and will be responsible for the development of customer-oriented solutions for aircraft diagnostics and preventive maintenance.

In our team, you will improve the operational safety of our aircraft and reduce direct maintenance costs for the airlines. You will be a key player in the development of these solutions in collaboration with Customer Service, which provides services and support for the airlines A350, A380 or Single Aisle/Long Range.

Desired profile

Tasks & accountabilities

What do we offer?

·  Transnational experience
·  Learning about Aircraft conditions monitoring systems (ACMS), which is at the heart of the digitalisation of our aircraft
·  Learning about many aircraft systems interfaced with ACMS
·  Participating in shaping the future through research and development
·  Being part of the digital transformation of Airbus

What can you expect?

·  Analysing massive aircraft data in a multi-competence team including several internal interfaces e.g. testing, system specialisation and customer services
·  Looking for and defining potential interesting precursors enabling aircraft preventive maintenance
·  Proposing algorithms and applying them on a set of real aircraft data
·  Develop customer-oriented solutions to diagnose the aircraft and to perform preventive maintenance actions

What's your challenge?

·  Application of data analysis techniques to different types of aircraft data
·  Acquiring teamwork in agile mode
·  Clarifying technical questions with other engineers

Required skills

What do you bring?

·  You have a degree in Business Informatics, Aerospace Engineering, Electrical Engineering, Physics or equivalent
·  You should have strong knowledge of Python and Pyspark, programming skills in Java or Scala
·  You show strong experience of Big Data tools ecosystem Hadoop, MapReduce, Spark, Kafka, Storm, Flume and/or Oozie
·  You have extensive knowledge of econometric models for processing time series and inferences such as ARIMA, SARIMAX and/or other models or tools for recognising rare events
·  You have a deep understanding of advanced statistics and methods and algorithms of machine learning such as supervised and unattended learning, hidden Markov models, Bayesian networks and/or natural language processing
·  You bring knowledge of deep learning tools and methods such as tensorflow, convolutional networks and recurrent neural networks
·  You are a team player, work customer-oriented and have excellent communication skills
·  You enjoy working in a multicultural environment
·  You have a negotiation level of English, ideally you speak other languages such as German and French

This role will involve frequent travel for business once or twice a month mainly in Toulouse and as such you must be able to travel accordingly.