Big Data Scientist for the Services Analytics Plateau

Role Overview

The Services Analytics Plateau is searching for an experienced Big-Data-Scientist to further develop Data Analytics solutions, find new ways to address challenges with data and digital technologies, and support the creation of new services.

What You Will Do

Perform exploratory data analysis, identify data-analytics problems, apply data mining techniques, create and validate models, and develop and implement program prototypes and production code.

Why It Might Be a Fit

The role requires several years of relevant professional experience, demonstrated expertise in processing and analyzing data, and hands-on experience in the development and implementation of health monitoring, predictive maintenance, or Integrated Logistic Support models.

Requirements

• 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 analyzing 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 visualization tools (e.g. Spotfire) and front-end applications (Streamlit, Django)
• Fluent in English and ideally also in German

Benefits

• Fair Compensation & Extras
• Time for You (and Your Loved Ones)
• Growth Made Easy
• Feel Good at Work
• Diversity Connects

Tagged as: Data Analysis, Data Visualization, Python, SQL