Data Scientist (m/f/d)

Cognizant; Donauwörth; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading company is seeking a Data Scientist to join its Digital Innovation team in Donauwörth. This role involves designing machine learning models for various business challenges, utilizing the latest technologies like AI, Analytics, and even AR/VR. Candidates should possess a Master's degree in Data Science and relevant experience, with knowledge of languages such as Python and tools like Jupyter Notebook.

Leistungen

30 days paid vacation

Employer-funded pension

Employee stock options

Discounted car leasing

Transportation subsidy

Flexible working hours

Support for personal growth

Qualifikationen

• Master's in Data Science or AI-related field.
• Two years’ experience in data science and AI.
• Fluent in German and proficient in English.

Aufgaben

• Collaborate with teams to understand business needs.
• Build and train machine learning models.
• Document work and perform user acceptance testing.

Kenntnisse

Machine Learning

Deep Learning

Natural Language Processing

Agile Development

Python

Analytical Skills

Team Collaboration

Ausbildung

Master’s degree in Data Science

Tools

Python

Jupyter Notebook

Palantir Foundry

SAP Business Warehouse

Jobbeschreibung

Donauwörth

Marseille Area

time type: Full time

job requisition id: JR10333606

Job Description:

In order to support and manage current and future projects, Airbus Helicopters is looking for you to join the Digital Innovation team in Donauwörth as soon as possible as our new

Data Scientist (d/f/m)

You will join the , being part of Airbus Helicopters’ Transformation Department, which strives to develop technologies bridging the gap between research and business. We work in a uniquely collaborative model across Airbus Group and throughout all levels of our internal customers, whether they are manufacturing, quality, support, finance, engineering, HR or Marketing and Sales.

Our team aims at using the latest technological capabilities to solve Airbus Business problems or improve the way we design, produce and support our Helicopters and Services. That means that Advanced Analytics, Artificial Intelligence, Virtual Reality, Augmented Reality, Mixed Reality and Internet of Things are the technologies we leverage on a day to day basis - and more are about to come.

As part of the digital transformation of Airbus Helicopters, you will be working on the design of machine learning models to address various business issues, based on the latest scientific and technological advances in the field of data science. Depending on the progress of the project, you may be asked to contribute to a set of initiatives.

Your location

At our Donauwörth site, located on the banks of the river Danube, we develop helicopters from the initial idea to the airworthy product. Watch them take off and touch down on our own on-site test airfield.

Your benefits

• Attractive salary and special payments
• 30 days paid vacation 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, transportation subsidy, employee benefits at cooperating companies
• On-site-facilities: Kindergarten close to the site, medical officer for check-ups and other health-related services, canteen, cafeteria, kiosk and self-service market, good traffic connection
• 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

Your tasks and responsibilities

• Collaborate with the framing team to understand business needs, business value, and data characteristics (location, quality, structure)
• Translate business needs into actionable solutions in a timely manner
• Scope and take ownership of datasets
• Build and train machine learning models
• Evaluate, fine-tune, and challenge models against agreed objectives
• Deploy the most suitable models
• Document work clearly and systematically
• Perform User Acceptance Testing
• Industrialize developed machine learning solutions

Desired skills and qualifications

• Master’s degree in Data Science or an AI-related field
• Experience in data science, including machine learning/deep learning methods and libraries, and natural language processing (LLM, RNN)
• Two years of professional experience in data science and AI
• Agile software development and project management
• Practical experience with Palantir Foundry, TIBCO Spotfire, Red Hat OpenShift AI, SAP Business Warehouse, Jupyter Notebook, Google Workspace, SAP ERP, Python, PySpark would be a plus
• Fluent in German and proficient in English (negotiation level); French is a plus.
• Soft skills: rigorous, analytical, creative, dynamic and curious, team player, autonomous
• Open to travel to Marignane to accompany AI projects when needed (approximately twice a month)
• Motivation to work in a hybrid environment

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 HELICOPTERS DEUTSCHLAND GmbH

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Digital

By 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 [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.