Grundlæggende

Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal Selskab: Jobio Klient / Arbejdsgiver: Swiss Post | It Campus
Opslået: 18.05.2026
Afslutningsdato: 02.07.2026
Jobreference: 9daec2f8fff343c9d04dea84070fc193

Jobinformation

Beliggenhed
Lisboa, Lisbon Metropolitan Area, Portugal
Selskab
Jobio
Klient / Arbejdsgiver
Swiss Post | It Campus
Jobreference
9daec2f8fff343c9d04dea84070fc193
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
18.05.2026
Afslutningsdato
02.07.2026

Jobbeskrivelse

− You create high quality code that enables us to bring solutions into production. Your tasks
will also include mentoring colleagues.
− In collaboration with key stakeholders, you will help to achieve targeted business impact per
initiative.
− You work on data analysis, visualizations and machine learning models that enable faster,
better and more informed decisions within the company and help to create business value.
− You find it easy to navigate quickly from identifying priorities or brainstorming to
implementing the solution. You have a passion for seeing your work translated into business
results.
Education
− You have a university or technical degree in computer science/mathematics or physics with a
technical degree and have already gained work experience in the implementation of data
science projects over the entire life cycle. Desirable in use cases in supply chain
logistics/mobility or geo-analytics.

Professional experience/expertise
− You have a good knowledge of machine learning frameworks (e.g. scikit-learn, TensorFlow,
Keras, Spark ML, Caret).
− You have already gained experience in software development with Big Data technologies
such as Python/ R, Java / Scala, SQL and the Hadoop ecosystem.
− With your solid knowledge of big data technologies and ecosystems such as AWS (e.g.
Sagemaker, Athena, Spark), you are an added value for our team.

Language skills

− Fluent English, second language (German, French, Italian) is an advantage
− Willingness to travel: 10 % - 20 %
− Hybrid Model: Two days a week @office (mandatory).
Just by joining us you will get benefits like:
  • Open minded company where every employee has to contribute to the development of the company - ideas are welcome as well as independent thinking to
  • 25 annual days of vacations
  • Flexible working hours
  • Annual allowance for Benefits (Training, Gym, Public Transportation, Technologies, etc...)
  • An amazing onboarding week at Switzerland
  • iPhone
  • Second Screen to work at home (Flat or a Curved one)
  • First month Tech Allowance to buy your headset or, if you already have one, whatever you need to work comfortably
  • Health insurance for you and your family
  • Life insurance
  • Office Perks (coffee, fruit, stand up desks. etc...)
  • So much more...

Færdigheder

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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