Big Data Scientist for the Services Analytics Plateau (d/f/m)

Key Skills

Big Data Technology, Data Analytics, Data science techniques, Data Visualization, DevOps, Machine learning techniques, matplotlib, Pandas, PySpark, Python Programming, Scrum Agile Methodology

Job Description

The Big Data Team (working mode: Agile Scrum) is searching for an experienced data scientist.

The project you will be working on represents Airbus Defence and Space's 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 50 data products and operate more than 10 use cases in production. In addition, we already have a data pool of several terabytes.

Your location

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

Your benefits

• Attractive salary and special payments
• 30 days holidays and extra days-off for special occasions
• Excellent upskilling opportunities and great international, group wide development prospects
• Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
• On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site
• Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)
• Working in a diverse environment, with more than 140 nationalities, where every voice is heard

Tasks:

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 and the design office.

Qualifications required:

• M.Sc. (ideally Ph.D.) in statistics, physics, mathematics, computer science, or a related field
• Deep knowledge and expertise in data analysis and statistical interpretations of data (e.g. probability distributions, statistical tests, Bayesian inference)
• Expertise in pre-processing, cleansing, and feature engineering
• Expertise in Machine Learning
• Good working knowledge of Python (in particular: pySpark, pandas, matplotlib, etc.)
• Secure handling of Unix systems
• Ideally: Expertise in DevOps and/or coding in a production environment, as well as basic knowledge of SQL technologies and databases
• Optional: Experience with visualisation tools (e.g. Spotfire)
• 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.

Company:

Airbus Defence and Space GmbH

Contract Type:

Permanent