Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Landkreis Pfaffenhofen an der Ilm
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative data analysis solutions for the aerospace sector, perform exploratory analyses, create models using Python and SQL, and present findings to various stakeholders.
Job Technologies
Your role in the team
- The Services Analytics Plateau (working mode: Agile Scrum) is searching for an experienced Big Data Scientist (m/f/d).
- 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.
- 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 data analyses, 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.
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Our expectations of you
Qualifications
- M.Sc. (ideally Ph.D.) in statistics, mathematics, computer science, physics, aerospace engineering or a related field.
- 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.
- Deep knowledge and expertise in data analysis and statistical interpretations of data (e.g., probability distributions, statistical tests, anomaly detection, Bayesian inference).
- 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.
- Fluent in English and ideally also in German.
Experience
- Several years of relevant professional experience working in data-driven projects, preferably within an Agile environment.
- Hands-on experience in the development and implementation of health monitoring, predictive maintenance, or Integrated Logistic Support (ILS) models for the aerospace sector.
- Experience working in Big Data Projects using Spark and Spark-Submit Jobs for building ELT pipelines and creating data products.
- Experience in the development of visualization tools (e.g., Spotfire) and front-end applications (Streamlit, Django).
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Airbus Deutschland GmbH
Airbus is the world's leading provider of air and space transportation, as well as related services.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.3
Career Growth
3.2Engineering
2.8Workingconditions
4.0Culture
3.5
Big Data Scientist
- Location
- Landkreis Pfaffenhofen an der Ilm
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
