Data Scientist

FUENTE: EMPRESA
ofertas de empleo publicadas directamente por las empresas en Experteer o encontradas por Experteer.
Regístrate e inscríbete a la oferta

Airbus Operations SL

Airbus is a leading aircraft manufacturer with the most modern and comprehensive family of airliners on the market, ranging in capacity from 100 to more than 500 seats. Airbus champions innovative technologies and offers some of the world's most fuel efficient and quiet aircraft. Airbus has sold over 13.800 aircraft to more than 360 customers worldwide. Airbus has achieved more than 8,000 deliveries since the first Airbus aircraft entered into service. Headquartered in Toulouse, France.

Airbus is a global leader in aeronautics, space and related services. In 2018 it generated revenues of € 64 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world's leading space companies. 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 of the job

The Airbus Digital Transformation Office (DTO) is looking for an Advanced Analyst (m/f) to join the Analytics Accelerator in Getafe
The DTO leads the digital transformation of Airbus group, leading key digital initiatives, defining the group data strategy, and supporting culture change towards more digital and agile ways of working. The Analytics Accelerator is a central group of data scientists in the DTO. Its mission is to lead the most valuable and challenging data science projects across all parts of the business. It also helps to build up data science expertise the organization and pioneers new ways of working.
The Analytics Project Leader will play a pivotal role in ensuring that the data science expertise in the Analytics Accelerator is employed effectively and efficiently. Among other things, that will include supporting the operational running of the team, project portfolio management and valuation, and communications.
The role will be to lead and implement data science projects as part of a rapidly growing and evolving team that works at the cutting-edge of applied data science. The team has a large degree of autonomy and high visibility to top management. The role offers a challenging and exciting personal environment as well as the opportunity to grow within the DTO and Airbus.

Tasks & accountabilities

Specific responsibilities include:
● Scoping, leading, and executing data science projects (incl. stakeholder management and communications)
● Performing hands-on work to build integrated data sets, analyse data sources (ML/AI), and build compelling visualizations (typically Python, R, Spark)
● Providing technical advice on analytics projects
● Visualising and communicating results (e.g. in interactive dashboards)
● Presenting results to project stakeholders, including business experts and middle management
● Sharing knowledge, contribute to driving change within the digital network, presentations and communications within the digital community, dissemination of best practices (patterns), etc.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Required skills

Your profile:
● At least early-level career experience
● Proven experience (mandatory)
o Leading and executing data science projects
o Project management experience: deliver a concrete result to a customer
o Experience understanding, structuring, and integrating data (e.g., fields, data quality, ranges, volume, etc.)
o Significant experience using inferential statistics / machine learning (e.g. statistical testing, clustering, PCA, SVM, random forests, regression, neural networks)
● Additional desirable knowledge / experience
o Understanding of big data system architectures (e.g., HDFS, Spark)
o Experience working with unstructured data (e.g. text, images, video)
● Knowledge / understanding
o Digital technologies and related challenges
o Ability to understand business processes and build up business cases
o Desirable: Aerospace business experience (product and service portfolio)
● Tools
o MS Office, agile tools (e.g. Jira)
o Significant working experience one or more of the following languages: R, Python, Java, Matlab, Spark, …
o Experience using data visualization tools (e.g. RShiny, Spotfire, Tableau)
● Languages
o Fluent written and spoken English
o Desirable: French or German and other European languages
● Business travel: Limited travel within Europe (few days per month)
Reference Code10455829 BC EN EXT 1
Functional AreaInnovation
Contract TypePermanent contract
Work ExperienceMid-career (5+ to 10 years of experience)
Interest GroupProfessional staff - other
Working TimeFull time

Las Estimaciones Salariales son un servicio proporcionado por Experteer para indicar el valor de la oferta en el mercado laboral. No se trata de información indicada por parte de los recruiters, pero sí de estimaciones realizadas por Experteer basándose en los datos del mercado.

Para calcular las referencias salariales se tienen en cuenta tanto datos internos como datos externos. No obstante, la Estimación Salarial puede llegar a variar hasta un 15% (e incluso más en algunos casos), en comparación con los salarios ofrecidos realmente por las empresas.

La referencia salarial de recruiter es una orientación. En este sentido, el salario final ofrecido por parte de la empresa depende de diferentes factores tales como la experiencia y las habilidades profesionales de los candidatos.