Základní

Data Scientist Marketing Science — ML & Big Data (Remote)

cuneo, piemonte, Italy Společnost: JR Italy Klient / Zaměstnavatel: Jakala Group S.p.A.
Zveřejněno: 18.05.2026
Datum uzavření: 02.07.2026
Pracovní reference: 812feeaf6a7d4e4051dafe2d67e78ba0

Informace o pracovních pozicích

Poloha
cuneo, piemonte, Italy
Společnost
JR Italy
Klient / Zaměstnavatel
Jakala Group S.p.A.
Pracovní reference
812feeaf6a7d4e4051dafe2d67e78ba0
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
18.05.2026
Datum uzavření
02.07.2026

Popis práce

Un'azienda innovativa nel campo della data science cerca un professionista per il team Marketing Science. Il candidato ideale ha una laurea in discipline scientifiche, almeno 3-4 anni di esperienza nella gestione e analisi dei dati, e competenze in Python e SQL. Responsabilità includeranno l'analisi di grandi volumi di dati, l'applicazione di modelli di marketing e la collaborazione con team vari. Offriamo un ambiente di lavoro flessibile e un sistema di Total Reward per il tuo benessere. #J-18808-Ljbffr

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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