Big Data Scientist for the Services Analytics Plateau

• 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.

• 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, 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.