Big Data Scientist for the Services Analytics Plateau

Job Description:

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

The project you will be working on represents Airbus Defence and Spaces 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 addition we already have a data pool of several terabytes.

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 the design office et al.

SKILLS

• . (ideally Ph.D.) in statistics mathematics computer science physics 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 or

  • Aircraft or fleet data including ILS (Integrated Logistics Support) or in-service data

• Hands-on experience in the development and implementation of health monitoring predictive maintenance or Integrated Logistic Support (ILS) 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 of visualisation tools (e.g. Spotfire) and front-end applications (Streamlit Django)

• Fluent in English and ideally also in German

WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

• Vacation days plus additional days-off along the year.

• Attractive salary.

• Hybrid model of working when possible promoting the work-life balance.

• Collective transport service in some sites.

• Benefits such as health insurance employee stock options retirement plan or study grants.

• On-site facilities (among others): free canteen kindergarten medical office.

• Possibility to collaborate in different social and corporate social responsibility initiatives.

• Excellent upskilling opportunities and great development prospects in a multicultural environment.

• Special rates in products & benefits.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

Company:

Employment Type:

-------

Experience Level:

Job Family: