#### About us

Airbus ist Pionier einer nachhaltigen Luft- und Raumfahrt für eine sichere und vereinte Welt. Das Unternehmen arbeitet ständig an Innovationen für effiziente und technologisch fortschrittliche Lösungen in den Bereichen Luft- und Raumfahrt, Verteidigung sowie vernetzte Dienstleistungen. Airbus bietet moderne und treibstoffeffiziente Verkehrsflugzeuge sowie dazugehörige Dienstleistungen an. Airbus ist auch führend in Europa im Bereich Verteidigung und Sicherheit und eines der größten Raumfahrtunternehmen der Welt. Im Bereich Hubschrauber stellt Airbus die weltweit effizientesten Lösungen und Dienstleistungen für zivile und militärische Hubschrauber bereit.

#### Job description

The Services Analytics Plateau (working mode: Agile Scrum) is searching for an experienced data scientist.


# ****Big Data Scientist for the Services Analytics Plateau (d/f/m)** **

The project you will be working on represents Airbus Devence and Space’s analytics capabilities for our largest customers and all our large aircraft. It delivers improved performance and customer experience and enables a rapid understanding of the potential of digitalisation for our customers.

You will be at the forefront of further developing our Data Analytics solutions. The main task will be to find new ways to address challenges with data and digital technologies and support the creation of new services.

We have well over 100 data products and operate more than 50 use cases in production. In addition, we already have a data pool of several terabytes.

Your location

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

****Your benefits** **

- Attractive salary and special payments
- 30 days paid vacation and extra days-off for special occasions
- Excellent upskilling opportunities and great international, group wide development prospects
- Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
- On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site
- Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)
- Working in a diverse environment, with more than 140 nationalities, where every voice is heard

****Your tasks and responsibilities** **

## Product discovery and maturation:

- Ask the right questions to support the discovery process
- Identify the data-analytics problems that offer the greatest opportunities to the organization
- Perform exploratory data analysis using visualization and sense
- You are or will be familiar with our business and actively follow market trends
- You present your findings to stakeholders using visualisation and other means


## Data structuring:

- Collating data and "data wrangling", i.e. transforming, cleansing and linking it with other data.
- Providing data sets for machine data models; determining relationships between data source attributes
- Apply data mining techniques to carry out statistical analysis.
- Create and validate models, also but not only using ML


## Data products:

- Exploratory analyses of data, extraction of specific content, patching, and statistical analysis
- Develop and implement programme prototypes and production code, mainly in Python
- Supporting the execution of proof-of-concept and ad-hoc requests within the community
- Development and handling of MCMC simulations, as well as output analysis.


## Pioneering role:

- Driving new working methods and new data governance models.
- Presenting results to diverse audiences; from engineers to managers
- Sharing and exchanging knowledge with other teams and working closely with the different support teams and the design office**.**

** **Desired skills and qualifications****

- M.Sc. (ideally Ph.D.) in statistics, physics, mathematics, computer science, aerospace engineering or a related field
- Several years of relevant professional experience working in data-driven projects, preferably within an Agile environment
- Demonstrated expertise in processing and analysing of aircraft sensor and maintenance data
- Hands-on experience on the development and in-service implementation of health monitoring and predictive maintenance models for the aerospace sector
- Deep knowledge and expertise in data analysis and statistical interpretations of data (e.g. probability distributions, statistical tests, anomaly detection, Bayesian inference)
- Experience working in Big Data Projects using Spark and Spark-Submit Jobs for building ELT pipelines and creating data products
- Working knowledge of Unix systems, including command-line operations and scripting (e.g., Bash)
- Expertise in DevOps and Python coding in a production environment, as well as excellent knowledge of SQL technologies and databases
- Experience in the development visualisation tools (e.g. Spotfire) and front-end applications (Streamlit, Django)
- Ideally: Experience in A400M aircraft systems and data
- Fluent in English and ideally also in German

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

Take your career to a new level and apply [online](https://www.airbus.com/en/careers) now!

**\#MYCYM**

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

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.