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Selected role

Big Data Scientist for the Services Analytics Plateau

Airbus Manching, BY, DE

Senior Full-time

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 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.

Company:

Airbus Defence and Space GmbH

Employment Type:

Permanent

Experience Level:

Professional

Job Family:

Configuration Management

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

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.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected] .

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.

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