Dein persönlicher KI-Karriere-Agent
Aerodynamic Data Scientist(m/w/x)
Processing and analyzing aerodynamic and flight physics data for aircraft performance optimization. Master's degree in a quantitative field and proficiency in Python, SQL, C/C++, Fortran expected. 30 days vacation, extra days-off for special occasions, employee stock options.
Anforderungen
- Master’s degree in Aerospace Engineering, Mathematics, Data Science, Computer Science, or related field
- Proven track record in data science and analytics
- Proficiency in Python and core data-science stack
- Experience with SQL and basic proficiency in C/C++ and Fortran
- Familiarity with ETL pipelines and databases
- Hands-on experience with cloud analytics stacks
- Experience implementing experiment and model tracking
- Knowledge in aerodynamics and fluid dynamics
- Experience in aerodynamic design and simulation
- Experience in aerospace industry or related field
- Excellent interpersonal and communication skills
- Strong analytical and problem-solving skills
- Ability to explain complex methods to engineers and managers
- Integrity and commitment to act with integrity
- Ability to learn and grow fast
- Good analytical capabilities and stress resilience
- Proven experience mentoring technical teams
- Advanced proficiency in English
- Proficiency in additional languages is an asset
- Willingness to travel as needed
- Commitment to compliance and integrity
Aufgaben
- Process and analyze aerodynamic and flight physics data
- Identify and implement process improvements
- Build compelling business cases for enhancements
- Foster a digital enabler community in flight physics
- Connect with data science networks to share knowledge
- Support aerodynamic engineering teams during peak workloads
- Mentor technical teams in data science methods
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Spanisch – Grundkenntnisse
- Deutsch – Grundkenntnisse
- Französisch – Grundkenntnisse
Tools & Technologien
- Python
- NumPy
- SciPy
- Pandas
- Scikit-Learn
- PyTorch
- Jupyter
- SQL
- C/C++
- Fortran
- Airflow
- Spark
- AWS
- Azure
- Google Cloud
- MLflow
- DVC
Benefits
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Excellent upskilling opportunities
Betriebliche Altersvorsorge
- Employer-funded pension
Attraktive Vergütung
- Employee stock options
Mitarbeiterrabatte
- Discounted car leasing
- Employee benefits at cooperating companies
Sonstige Zulagen
- Special conditions for insurances
Öffi Tickets
- Subsidies for public transport
Gesundheits- & Fitnessangebote
- Medical officer for check-ups
Gratis oder Vergünstigte Mahlzeiten
- Canteen and cafeteria
Kinderbetreuung
- Kindergarten close to the site
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse work environment
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Aerodynamic Data Scientist(m/w/x)
Processing and analyzing aerodynamic and flight physics data for aircraft performance optimization. Master's degree in a quantitative field and proficiency in Python, SQL, C/C++, Fortran expected. 30 days vacation, extra days-off for special occasions, employee stock options.
Anforderungen
- Master’s degree in Aerospace Engineering, Mathematics, Data Science, Computer Science, or related field
- Proven track record in data science and analytics
- Proficiency in Python and core data-science stack
- Experience with SQL and basic proficiency in C/C++ and Fortran
- Familiarity with ETL pipelines and databases
- Hands-on experience with cloud analytics stacks
- Experience implementing experiment and model tracking
- Knowledge in aerodynamics and fluid dynamics
- Experience in aerodynamic design and simulation
- Experience in aerospace industry or related field
- Excellent interpersonal and communication skills
- Strong analytical and problem-solving skills
- Ability to explain complex methods to engineers and managers
- Integrity and commitment to act with integrity
- Ability to learn and grow fast
- Good analytical capabilities and stress resilience
- Proven experience mentoring technical teams
- Advanced proficiency in English
- Proficiency in additional languages is an asset
- Willingness to travel as needed
- Commitment to compliance and integrity
Aufgaben
- Process and analyze aerodynamic and flight physics data
- Identify and implement process improvements
- Build compelling business cases for enhancements
- Foster a digital enabler community in flight physics
- Connect with data science networks to share knowledge
- Support aerodynamic engineering teams during peak workloads
- Mentor technical teams in data science methods
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Spanisch – Grundkenntnisse
- Deutsch – Grundkenntnisse
- Französisch – Grundkenntnisse
Tools & Technologien
- Python
- NumPy
- SciPy
- Pandas
- Scikit-Learn
- PyTorch
- Jupyter
- SQL
- C/C++
- Fortran
- Airflow
- Spark
- AWS
- Azure
- Google Cloud
- MLflow
- DVC
Benefits
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Excellent upskilling opportunities
Betriebliche Altersvorsorge
- Employer-funded pension
Attraktive Vergütung
- Employee stock options
Mitarbeiterrabatte
- Discounted car leasing
- Employee benefits at cooperating companies
Sonstige Zulagen
- Special conditions for insurances
Öffi Tickets
- Subsidies for public transport
Gesundheits- & Fitnessangebote
- Medical officer for check-ups
Gratis oder Vergünstigte Mahlzeiten
- Canteen and cafeteria
Kinderbetreuung
- Kindergarten close to the site
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse work environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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