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Aerodynamic Data Scientist(m/w/x)
Description
As an Aerodynamic Data Scientist, you will leverage your expertise to analyze flight data, drive process improvements, and support engineering teams while fostering a collaborative community and mentoring others in innovative data science techniques.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
3 years
Tasks
- •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
Tools & Technologies
Languages
English – Business Fluent
Spanish – Basic
German – Basic
French – Basic
Benefits
More Vacation Days
- •30 days paid vacation
- •Extra days-off for special occasions
Learning & Development
- •Excellent upskilling opportunities
Retirement Plans
- •Employer-funded pension
Competitive Pay
- •Employee stock options
Corporate Discounts
- •Discounted car leasing
- •Employee benefits at cooperating companies
Additional Allowances
- •Special conditions for insurances
Public Transport Subsidies
- •Subsidies for public transport
Healthcare & Fitness
- •Medical officer for check-ups
Free or Subsidized Food
- •Canteen and cafeteria
Childcare
- •Kindergarten close to the site
Flexible Working
- •Job sharing
- •Part-time models
- •Flexible working hours
Workation & Sabbatical
- •Individual timeout
Informal Culture
- •Diverse work environment
- Bert. Technology Germany GmbHFull-timeOn-siteExperiencedManching
- Airbus Defence and Space GmbH
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Aerodynamic Data Scientist(m/w/x)
The AI Job Search Engine
Description
As an Aerodynamic Data Scientist, you will leverage your expertise to analyze flight data, drive process improvements, and support engineering teams while fostering a collaborative community and mentoring others in innovative data science techniques.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
3 years
Tasks
- •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
Tools & Technologies
Languages
English – Business Fluent
Spanish – Basic
German – Basic
French – Basic
Benefits
More Vacation Days
- •30 days paid vacation
- •Extra days-off for special occasions
Learning & Development
- •Excellent upskilling opportunities
Retirement Plans
- •Employer-funded pension
Competitive Pay
- •Employee stock options
Corporate Discounts
- •Discounted car leasing
- •Employee benefits at cooperating companies
Additional Allowances
- •Special conditions for insurances
Public Transport Subsidies
- •Subsidies for public transport
Healthcare & Fitness
- •Medical officer for check-ups
Free or Subsidized Food
- •Canteen and cafeteria
Childcare
- •Kindergarten close to the site
Flexible Working
- •Job sharing
- •Part-time models
- •Flexible working hours
Workation & Sabbatical
- •Individual timeout
Informal Culture
- •Diverse work environment
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
- Bert. Technology Germany GmbH
Aerodynamic Dataset Engineer - Defence(m/w/x)
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System Engineer - Flight Management Systems for UAV(m/w/x)
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Experienced Simulation Software Engineer - Visualisation Solutions & Data(m/w/x)
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Intern in Federated Learning for collaborative Air Combat(m/w/x)
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