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Big Data Scientist for the Services Analytics Plateau(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Spark
- Spark-Submit
- Unix
- Bash
- Python
- SQL
- Spotfire
- Streamlit
- Django
Benefits
Attraktive Vergütung
- Attractive salary
- Employee stock options
Boni & Prämien
- Special payments
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Upskilling opportunities
- Customized development solutions
Karriere- und Weiterentwicklung
- International development prospects
Betriebliche Altersvorsorge
- Employer-funded pension
Mitarbeiterrabatte
- Discounted car leasing
- Employee benefits at cooperating companies
Sonstige Vorteile
- Special insurance conditions
Öffi Tickets
- Subsidies for public transport
Gesundheits- & Fitnessangebote
- On-site medical officer
- On-site health-related services
Gratis oder Vergünstigte Mahlzeiten
- On-site canteen and cafeteria
Kinderbetreuung
- Kindergarten close to site
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse work environment
Noch nicht perfekt?
- Airbus Defence and Space GmbHVollzeitnur vor OrtBerufserfahrenManching
- Airbus Defence and Space GmbH
Experienced Simulation Software Engineer - Visualisation Solutions & Data(m/w/x)
Vollzeitnur vor OrtBerufserfahrenManching - Airbus Defence and Space GmbH
System Engineer - Flight Management Systems for UAV(m/w/x)
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Delivery Manager - Diagnostic Services(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorManching - Airbus Defence and Space GmbH
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Vollzeitnur vor OrtBerufserfahrenManching
Big Data Scientist for the Services Analytics Plateau(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Spark
- Spark-Submit
- Unix
- Bash
- Python
- SQL
- Spotfire
- Streamlit
- Django
Benefits
Attraktive Vergütung
- Attractive salary
- Employee stock options
Boni & Prämien
- Special payments
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Upskilling opportunities
- Customized development solutions
Karriere- und Weiterentwicklung
- International development prospects
Betriebliche Altersvorsorge
- Employer-funded pension
Mitarbeiterrabatte
- Discounted car leasing
- Employee benefits at cooperating companies
Sonstige Vorteile
- Special insurance conditions
Öffi Tickets
- Subsidies for public transport
Gesundheits- & Fitnessangebote
- On-site medical officer
- On-site health-related services
Gratis oder Vergünstigte Mahlzeiten
- On-site canteen and cafeteria
Kinderbetreuung
- Kindergarten close to site
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse work environment
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Noch nicht perfekt?
- Airbus Defence and Space GmbH
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Experienced Simulation Software Engineer - Visualisation Solutions & Data(m/w/x)
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