Role overview
- 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
- M.Sc. (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
What we're looking for
Entry Level
Configuration Management
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