Dasar

Data Scientist

madrid, Spain Perusahaan: JR Spain Klien / Pemberi Kerja: 2228 Gate Gourmet Spain S.L.
Diposting: 28.05.2026
Tanggal penutupan: 12.07.2026
Referensi pekerjaan: 709211651690830233632460

Informasi pekerjaan

Lokasi
madrid, Spain
Perusahaan
JR Spain
Klien / Pemberi Kerja
2228 Gate Gourmet Spain S.L.
Referensi pekerjaan
709211651690830233632460
Jenis daftar
Dasar
Izin kerja UE diperlukan
Tidak
Diposting
28.05.2026
Tanggal penutupan
12.07.2026

Deskripsi pekerjaan

We’re looking for motivated, engaged people to help make everyone’s journeys better.

TechnKey Responsibilities:
• Data Analysis: Analyze large datasets to identify trends, patterns, and correlations using statistical and machine learning techniques.
• Model Development: Develop, implement, and optimize predictive models and algorithms to address business challenges.
• Data Preprocessing: Clean, preprocess, and transform raw data into usable formats for analysis.
• Collaboration: Work with product managers, engineers, and other stakeholders to understand business requirements and deliver impactful solutions.
• Visualization: Create clear and effective data visualizations to communicate insights to both technical and non-technical audiences.
• Reporting: Present findings and insights through reports, dashboards, and presentations to senior leadership.
• Research & Innovation: Stay updated with the latest developments in data science, machine learning, and AI to apply cutting-edge techniques and tools.

Education:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

Work Experience:

At least 3 years in data science 
Experience in building predictive models and working with large datasets is highly preferred.

Technical Skills:

• Problem-Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
• Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

If you want to be part of a team that helps make travel and culinary memories, join us!

Keterampilan

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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