ベーシック

Data Scientist

andalucía, Spain 会社: JR Spain クライアント/雇用主: Atlantica Sustainable Infrastructure
投稿: 22.05.2026
閉鎖日: 06.07.2026
求人推薦状: b1852cead4d815f9dfd8014d06f6ab62

求人情報

所在地
andalucía, Spain
会社
JR Spain
クライアント/雇用主
Atlantica Sustainable Infrastructure
求人推薦状
b1852cead4d815f9dfd8014d06f6ab62
リストの種類
ベーシック
EUワークパーミットが必要です
いいえ
投稿
22.05.2026
閉鎖日
06.07.2026

職務内容

We are currently recruiting Data Scientist to work with and strengthen our Atlantica Corporate Resources, S.L team based in the Isla de la Cartujaoffice.

Key Responsibilities
  • Support the transformation of business problems into simple analytical solutions under supervision.
  • Assist in collecting, cleaning, and exploring structured and unstructured data.
  • Help build and test prototypes and basic statistical models.
  • Support the application of basic visualization and reporting techniques.
  • Assist in updating KPIs and preparing summary reports.
  • Provide documentation for data research and model development activities.
  • Follow departmental processes and assist with ad hoc assigned tasks.
Education & Certifications
  • Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Engineering, Physics, or similar.
Experience & Technical Skills
  • 1–5 years of experience in data analytics, statistical analysis, or business intelligence.
  • Basic knowledge of statistical packages and programming (Python, SQL, Excel).
  • Familiarity with exploratory analysis and basic algorithmic model building.
  • Willingness to learn new analytical tools and technologies.
  • Eager to learn, analytical, and detail-oriented.
  • Good communication and teamwork skills.
  • Organized and reliable.
  • Able to follow instructions and escalation issues when needed.
  • Competitive remuneration package.
  • Growth opportunities in a promising and booming industry.
  • A highly committed, dynamic, and challenging environment.
#J-18808-Ljbffr

スキル

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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