Ofertas › E Airbus Defence and Space GmbH
E Airbus Defence and Space GmbH · Manching, Germany · 70.000 - 100.000 € per year
Salary: 70.000 - 100.000 € per year Requirements: We seek a candidate with an M.Sc. (ideally a Ph.D.) in statistics, mathematics, computer science, physics, aerospace engineering, or a related field. We require several years of relevant professional experience working on data-driven projects, preferably in an Agile environment. We seek demonstrated expertise in processing and analyzing aircraft sensor and maintenance data, aircraft or fleet data, including ILS (Integrated Logistics Support) or in-service data. We require hands-on experience developing and implementing health-monitoring, predictive-maintenance, or ILS models for the aerospace sector. We seek deep knowledge of data analysis and statistical interpretation, such as probability distributions, statistical tests, anomaly detection, and Bayesian inference. We require experience working on Big Data projects using Spark and Spark-Submit Jobs to build ELT pipelines and create data products. We require working knowledge of Unix systems, including command-line operations and scripting such as Bash. We seek expertise in DevOps and Python coding in a production environment, as well as excellent knowledge of SQL technologies and databases. We seek experience developing visualization tools such as Spotfire and front-end applications such as Streamlit or Django. We require fluency in English; German is ideally also spoken. Responsibilities: We ask the right questions to support the discovery process. We identify data-analytics problems that offer the greatest opportunities to our organization. We perform exploratory data analysis using visualization and insight. We build familiarity with our business and actively follow market trends. We present findings to stakeholders using visualization and other means. We collate data and perform data wrangling, including transforming, cleansing, and linking data with other sources. We provide datasets for machine data models and determine relationships between data-source attributes. We apply data-mining techniques to carry out statistical analysis. We create and validate models, including but not limited to machine-learning models. We conduct exploratory data analyses, extract specific content, patch data, and perform statistical analysis. We develop and implement program prototypes and production code, mainly in Python. We support proof-of-concept execution and ad-hoc requests within the community. We develop and handle MCMC simulations and analyze their outputs. We