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Détail de l'offre: Data Scientist Toulouse (m/f)

  • Société: AIRBUS
  • Secteur d'Activité: Informatique, Electronique et Télécom
  • Région du poste: France: Midi Pyrénées
  • Type de poste: Data Scientist Toulouse (m/f)
  • Contrat: Sans Précision
  • Formation:
  • Lieu de travail: Toulouse
  • Date d'embauche: NC
  • Salaire: N/A
  • Référence: NC

Description du Poste:

Data Scientist Toulouse (m/f) Airbus Defence and Space Toulouse Airbus is a global leader in aeronautics, space and related services. In 2016, it generated revenues of € 67 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.
Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space. Description du poste / stage A vacancy for a Data Scientist (m/f) (2 Positions) has arisen within Airbus Defence and Space in Toulouse. The successful applicants will join “TZA – Data Analytics”. Tâches et missions principales, responsabilités The mission of the DTO inside Airbus Defence and Space is to actively support the business and help drive the transformation, and is articulated around the following objectives:Animate the community of Airbus group digital stakeholders and connect the dots in order to promote information andbest practices sharingPromote and facilitate the portfolio of initiatives; capture lessons learnt to accelerate, scale-up and spread most promisingprojects beyond the current boundariesHelp establish a value proposition framework for digital initiatives, including appropriate new business models approachesSponsor and/ or drive a set of proof of concepts or breakthrough projects, in close coordination with key stakeholdersDrive Airbus Group data strategyEnsure proper access to market best practices through structured and focused benchmarking or partnershipsManage the appropriate coordination and synergies between Group initiativesDrive and accompany business transformation in a digital environmentYour main tasks and responsibilities will include:Leading the development and deployment of data analytics activities and expertise on digital projects encompassing processesand solutions while making sure the following objectives are met:Time, Cost, Quality and respecting existing Airbus project management processesAdherence to requirementsChallenging to create the best value proposition and solution for the businessEfficient stakeholder managementSupporting the Digital Transformation Office in executing data analytics proofs-of-concept and projects withAirbus Defence and Space and Airbus Group organizationsPerforming hands-on work to build integrated data sets, analyse data sources, and build compelling visualizationsDeveloping a broad knowledge based on the scope of the Airbus Defence and Space portfolio of business areasSpace Systems and Satellites, Secure Communications, Military Aircraft, Digital Security and Intelligence as well asUnmanned Arial Systems and Drones linked to projects and initiatives within Commercial Aerospace and HelicoptersPresenting results to project stakeholders, including business experts and middle managementContributing to the creation of new ways of working and new data governanceCandidate will be guided and mentored by experience Digital Transformation Office and other Airbus staff – focus on developing broader knowledge of Airbus, information systems, and business challenges Compétences requises We are looking for candidates with the following skills and experience:Educated to degree level mathematics, statistics or computer science or similarAbility to understand data source structure and content, e.g., fields, data quality, ranges, volume, etc.Experience with data integration and management – combining independent sources to create a more complete viewKnowledge of statistical analysis, e.g., mean, standard deviation, correlations, etc.Programming experience in one or more of the following languages: R, Python, Java, MatlabExperience using data visualization tools: RShiny, Spotfire, Tableau, etc.Good operational background in more than one area: for instance Engineering, Manufacturing, Procurement / Supply chain,Support functions,…Capability to build up business cases and understand financial reportsKnowledge and understanding from digital technologies and related challengesFamiliarity with data analysis algorithms such as SVM, K-Means, etc.Understanding of big data system architectures, e.g., HDFS, Spark, etc.Experience working with unstructured data – text, images, video, etc.Aerospace business experience – marketing, sales, engineering, program management, etc.Curiosity for data and data-driven decisions, interest in business or industrial problem solving, creativityUnderstanding for the core business context and key drivers of Airbus Defence and Space division and to have a global viewon the general environment of the companyKnowledge of the company products /solutions/ service portfolio characteristicsUnderstanding of Company activities, legal organisation, internal organisationExcellent internal and external networking skillsProject management experience – deliver within an Agile framework concrete results or recommendations to an end-customerGood communication skills – tell an effective story with the dataCollaborative mind-set and ways of workingSound understanding of team dynamics and the working environmentLearning agility, entrepreneurship & hacking mindset, independence of mind and innovative “out of the box thinking”Personal resilience to challenge status quoDemonstrated leadership capacity either across networks of hierarchicalDemonstrated ability & autonomy to do free-lance researchExcellent and adaptive communication with diverse audiences & skills: engineering, experts, data scientists, IT experts,business experts, exec managementEnglish: fluent

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