Big Data Scientist for the Services Analytics Plateau

Airbus; Manching; Vor Ort; EUR 85.000 - 115.000; Vollzeit

Benefits dieser Stelle

Company pension schemes

Mobility offers (bike leasing)

Corporate discounts

Flexible working hours

Mobile working

Part-time options

Job sharing

Sabbatical opportunities

On-site company doctor

Health programs

Canteen and cafeteria

Childcare facilities

Diversity and inclusion

Zusammenfassung

Airbus Defence and Space GmbH is seeking an experienced Big-Data-Scientist to advance analytics capabilities across our extensive data products and use cases. You will work on data discovery, analytics, and model development in an Agile Scrum setting, using Python to build production-ready code and create insightful visualizations for stakeholders.

The role emphasizes data wrangling, model development, and collaboration with diverse teams in a data-driven environment, with opportunities to

Qualifikationen

• M.Sc. (ideally Ph.D.) in statistics, mathematics, computer science, physics, aerospace engineering or a related field.
• Several years of relevant professional experience in data-driven projects, preferably within an Agile environment.
• Demonstrated expertise in processing and analyzing aircraft sensor and maintenance data, or fleet data.
• Experience with health monitoring, predictive maintenance, or ILS models for aerospace.

Aufgaben

• Ask the right questions to support the discovery process.
• Identify data-analytic problems with the greatest opportunities.
• Perform exploratory data analysis using visualization.
• Present findings to stakeholders using visualization and other means.
• Collate data and perform data wrangling; transform, cleanse and link data.
• Provide data sets for machine learning models; determine relationships between data sources.
• Apply data mining techniques for statistical analysis.
• Create and validate models, including ML approaches.
• Develop production code, mainly in Python.
• Support PoC and ad-hoc requests within the community.
• Develop and run MCMC simulations and analyze outputs.
• Drive new working methods and data governance models.
• Present results to engineers and managers.

Kenntnisse

Python

SQL

Spark

Data Visualization

DevOps

Unix/Linux

Machine Learning

Communication

Ausbildung

M.Sc./Ph.D. in statistics, mathematics, CS, physics, aerospace engineering or related field

Several years of data-driven project experience

Tools

Spotfire

Streamlit

Django

Jobbeschreibung

Job Description

The Services Analytics Plateau (working mode: Agile Scrum) is searching for an experienced Big-Data-Scientist (d/f/m).

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 digitalization 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 100 data products and operate more than 50 use cases in production. In addition, we already have a data pool of several terabytes.

This role is also available with reduced weekly hours and an adapted scope of tasks.

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.

Our Benefits for You

• Fair Compensation & Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
• Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
• Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
• Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
• Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA.

Your tasks and responsibilities

• 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 visualization and other means
• 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
• Exploratory analyses of data, extraction of specific content, patching, and statistical analysis
• Develop and implement program 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.
• 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.

Desired skills and qualifications

• 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

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

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

Employment Type: Permanent

Experience Level: Professional

Job Family: Configuration Management

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [e-mail] .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.