Základní

Senior Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal Společnost: Jobio Klient / Zaměstnavatel: Luza Group
Zveřejněno: 18.05.2026
Datum uzavření: 02.07.2026
Pracovní reference: 3e298fc6218cfddfce2ae26b5b864984

Informace o pracovních pozicích

Poloha
Lisboa, Lisbon Metropolitan Area, Portugal
Společnost
Jobio
Klient / Zaměstnavatel
Luza Group
Pracovní reference
3e298fc6218cfddfce2ae26b5b864984
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
18.05.2026
Datum uzavření
02.07.2026

Popis práce

Job Title: Senior Data Scientist Location: Lisbon Work Regime: Hybrid (60% office) Step into a dynamic ecosystem where the future of business is created and lived every day. Be part of it! At LUZA Group, passion, perseverance, and the drive to excel define our path to success. Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a turnover surpassing 30M. With a strong presence in key marketsPortugal, Spain, Morocco, Brazil, Mexico, the United States, and Chinawe deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Our people and their talent power everything we do. This is a moment of growth and opportunity. The future belongs to visionary minds. Will you join us? Overview / Summary: We are looking for a Data Scientist, who will use data to solve business issues in different geographies, and work on our Marketing processes.Responsibilities:Run python-based analytical engines (direct marketing, inbound marketing, web navigation) on a regular basis;Collect data (internal & external) and investigate their business value through data analysis;Create and adapt models and tools;Develop & improve data quality controls and standardize processes and analyses;Ensure high quality of delivery;Collect and visualize KPIs on the performance of our in-house models;Create/Update some dashboards.You will integrate the Analytics Hub, an innovative, international and creative team based in Lisbon and Porto. Our working language is English, therefore both written and spoken knowledge in English is mandatory. You will report hierarchically to the Team Leader. The marketing side of the Hub has three mid-sized teams (Data Scientists, Data Analysts and Python developers), working together on complex challenges.The team is recent, agile, and everyone is growing together. More than 20 colleagues are working in the same field as you, sharing ideas and experiences, and you will be able to share your insights with the central teams in Paris.We are prepared to welcome you with an initial onboarding plan, with on the job training, online learning and networking opportunities.#VisionaryFuture - Build the future, join our living ecosystem!

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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