Alap

Data Scientist

madrid, Spain Társaság: JR Spain Ügyfél / Munkáltató: Dabster
Közzétéve: 28.05.2026
Zárási dátum: 12.07.2026
Munkareferenciák: 673917108536895078432460

Munkaköri információk

Elhelyezkedés
madrid, Spain
Társaság
JR Spain
Ügyfél / Munkáltató
Dabster
Munkareferenciák
673917108536895078432460
Listázási típus
Alap
EU-s munkavállalási engedély szükséges
Nem
Közzétéve
28.05.2026
Zárási dátum
12.07.2026

Munkaköri leírás


Technical Profile – Experts in Databricks (Data Science for Machines)
Looking for professionals with advanced experience in the Databricks platform, particularly in:
  • Development of Delta Live Tables as main workflows based on SQL.
  • Bayesian modelling (causal models) applied to big data, implemented in clusters with GPUs.
  • Use of generative artificial intelligence (Genie) for the development of data-based applications.
  • Experience with the latest developments of the Databricks platform is key.
  • the engine should be proficient in Spanish & English.
  • Real Madrid CF is looking for strong Databricks profiles – who will do the performance tuning on the tech stack that already set.

    Képességek

    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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