Airbus Defence and Space GmbH
Aerodynamic Data Scientist(m/w/x)
Full-timeOn-siteExperienced
Manching
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AIAirbus Defence and Space GmbH
Big Data Scientist for the Services Analytics Plateau(m/w/x)
Manching
Full-timeOn-siteExperienced
Nejo AI Summary
Analyzing aircraft sensor and maintenance data for predictive maintenance models within aerospace services. Ph.D. in quantitative field and aerospace predictive maintenance expertise required. 30 days vacation, extra days for special occasions.
Requirements
- M.Sc. or ideally Ph.D. in statistics, physics, mathematics, computer science, aerospace engineering or related field
- Several years of relevant professional experience in data-driven projects
- Expertise in processing and analysing aircraft sensor and maintenance data
- Experience in health monitoring and predictive maintenance models for aerospace
- Deep knowledge in data analysis and statistical interpretations
- Experience in Big Data projects using Spark and ELT pipelines
- Working knowledge of Unix systems and scripting
- Expertise in DevOps, Python coding, and SQL technologies
- Experience in development of visualisation tools and front-end applications
- Ideal experience in A400M aircraft systems and data
- Fluency in English and ideally German
- Awareness of compliance risks and commitment to integrity
Tasks
- Ask insightful questions to guide the discovery process
- Identify high-impact data analytics opportunities
- Perform exploratory data analysis using visualization
- Monitor market trends and business developments
- Present findings to stakeholders through visual tools
- Collate, transform, and cleanse complex datasets
- Provide data sets for machine learning models
- Determine relationships between various data source attributes
- Apply data mining techniques for statistical analysis
- Create and validate machine learning models
- Extract specific content and perform data patching
- Develop program prototypes and production code in Python
- Execute proof-of-concept projects and ad-hoc requests
- Develop and analyze MCMC simulations
- Drive new working methods and data governance models
- Present results to diverse engineering and management audiences
- Exchange knowledge with support teams and the design office
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Spark
- Spark-Submit
- Unix
- Bash
- Python
- SQL
- Spotfire
- Streamlit
- Django
Benefits
Competitive Pay
- Attractive salary
- Employee stock options
Bonuses & Incentives
- Special payments
More Vacation Days
- 30 days paid vacation
- Extra days-off for special occasions
Learning & Development
- Upskilling opportunities
- Customized development solutions
Career Advancement
- International development prospects
Retirement Plans
- Employer-funded pension
Corporate Discounts
- Discounted car leasing
- Employee benefits at cooperating companies
Other Benefits
- Special insurance conditions
Public Transport Subsidies
- Subsidies for public transport
Healthcare & Fitness
- On-site medical officer
- On-site health-related services
Free or Subsidized Food
- On-site canteen and cafeteria
Childcare
- Kindergarten close to site
Flexible Working
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Informal Culture
- Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AIAirbus Defence and Space GmbH
Big Data Scientist for the Services Analytics Plateau(m/w/x)
Manching
Full-timeOn-siteExperienced
Nejo AI Summary
Analyzing aircraft sensor and maintenance data for predictive maintenance models within aerospace services. Ph.D. in quantitative field and aerospace predictive maintenance expertise required. 30 days vacation, extra days for special occasions.
Requirements
- M.Sc. or ideally Ph.D. in statistics, physics, mathematics, computer science, aerospace engineering or related field
- Several years of relevant professional experience in data-driven projects
- Expertise in processing and analysing aircraft sensor and maintenance data
- Experience in health monitoring and predictive maintenance models for aerospace
- Deep knowledge in data analysis and statistical interpretations
- Experience in Big Data projects using Spark and ELT pipelines
- Working knowledge of Unix systems and scripting
- Expertise in DevOps, Python coding, and SQL technologies
- Experience in development of visualisation tools and front-end applications
- Ideal experience in A400M aircraft systems and data
- Fluency in English and ideally German
- Awareness of compliance risks and commitment to integrity
Tasks
- Ask insightful questions to guide the discovery process
- Identify high-impact data analytics opportunities
- Perform exploratory data analysis using visualization
- Monitor market trends and business developments
- Present findings to stakeholders through visual tools
- Collate, transform, and cleanse complex datasets
- Provide data sets for machine learning models
- Determine relationships between various data source attributes
- Apply data mining techniques for statistical analysis
- Create and validate machine learning models
- Extract specific content and perform data patching
- Develop program prototypes and production code in Python
- Execute proof-of-concept projects and ad-hoc requests
- Develop and analyze MCMC simulations
- Drive new working methods and data governance models
- Present results to diverse engineering and management audiences
- Exchange knowledge with support teams and the design office
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Spark
- Spark-Submit
- Unix
- Bash
- Python
- SQL
- Spotfire
- Streamlit
- Django
Benefits
Competitive Pay
- Attractive salary
- Employee stock options
Bonuses & Incentives
- Special payments
More Vacation Days
- 30 days paid vacation
- Extra days-off for special occasions
Learning & Development
- Upskilling opportunities
- Customized development solutions
Career Advancement
- International development prospects
Retirement Plans
- Employer-funded pension
Corporate Discounts
- Discounted car leasing
- Employee benefits at cooperating companies
Other Benefits
- Special insurance conditions
Public Transport Subsidies
- Subsidies for public transport
Healthcare & Fitness
- On-site medical officer
- On-site health-related services
Free or Subsidized Food
- On-site canteen and cafeteria
Childcare
- Kindergarten close to site
Flexible Working
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Informal Culture
- Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Not a perfect match?
- Airbus Defence and Space GmbH
Aerodynamic Data Scientist(m/w/x)
Full-timeOn-siteExperiencedManching - Airbus Defence and Space GmbH
Experienced Simulation Software Engineer - Visualisation Solutions & Data(m/w/x)
Full-timeOn-siteExperiencedManching - Airbus Defence and Space GmbH
System Engineer - Flight Management Systems for UAV(m/w/x)
Full-timeOn-siteExperiencedManching - Airbus Defence and Space GmbH
Delivery Manager - Diagnostic Services(m/w/x)
Full-time/Part-timeOn-siteSeniorManching - Airbus Defence and Space GmbH
Software Architect - Electronic Warfare Mission Data(m/w/x)
Full-timeOn-siteExperiencedManching