Základní

Data Scientist

catalunya, Spain Společnost: JR Spain Klient / Zaměstnavatel: Smadex
Zveřejněno: 29.05.2026
Datum uzavření: 13.07.2026
Pracovní reference: 307350810129543987232460

Informace o pracovních pozicích

Poloha
catalunya, Spain
Společnost
JR Spain
Klient / Zaměstnavatel
Smadex
Pracovní reference
307350810129543987232460
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
29.05.2026
Datum uzavření
13.07.2026

Popis práce

Smadex is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world.

This is a full-time position based in Barcelona.

Your tasks and responsibilities:

  • Analyze large, complex data sets containing the behaviour of millions of mobile users and Apps worldwide to influence Product & ML strategies.
  • Working cross-functionally with business and technical teams to support product performance.
  • Develop dashboards and processes to ensure data influences decisions at all levels of the company.

Skills and requirements:

  • 3+ years of experience as a Data Analyst / Data Scientist.
  • Bachelor's or Master's Degree in a Quantitative Field (Engineering, Statistics, Mathematics, Data Science).
  • Strong problem-solving skills, ability to formulate questions, run analysis to articulate a recommendation.
  • Proven working knowledge of Python, SQL and large data sets, understanding of analytic methodologies for data evaluation.
  • Excellent verbal and written communication skills, with the ability to present analysis and conclusions.
  • Strong knowledge and experience of statistical concepts and hypothesis testing.
  • Knowledge of the ad-tech industry is a plus.

Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.

What is in it for you:

  • Integrate a highly motivated, young and dynamic team
  • Great compensation package
  • Top location at the heart of Barcelona with a rooftop terrace, Barbecue, and a fully stocked fridge
  • Great work-life balance: work from home (2 days per week), flexible hours
  • Meal vouchers - Ticket Restaurant monthly allowance
  • Monthly gym allowance: Choose between DiR and Wellhub
  • LinkedIn Learning and training opportunities
  • Monthly TGIF events
  • Regular team-building events
  • Fun and friendly work environment with talented marketers and engineers from over 40 countries
  • And more!
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Dovednosti

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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