Big Data Scientist for the Services Analytics Plateau
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 programm 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.
Take your career to a new level and apply online now!
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 GmbHEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
Configuration ManagementBy submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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 [email protected].
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.