Põhiline

Data Scientist - Growth & Revenue Analytics

pavia, lombardia, Italy Ettevõte: JR Italy Klient / Tööandja: Mollie
Postitatud: 19.05.2026
Sulgemiskuupäev: 03.07.2026
Tööviide: 1adfe89274ab33b49f8719d7da2183d7

Tööinfo

Asukoht
pavia, lombardia, Italy
Ettevõte
JR Italy
Klient / Tööandja
Mollie
Tööviide
1adfe89274ab33b49f8719d7da2183d7
Kuulutuse tüüp
Põhiline
EL-i tööluba nõutav
Ei
Postitatud
19.05.2026
Sulgemiskuupäev
03.07.2026

Tööülesannete kirjeldus

A leading fintech company in Milan is seeking a Data Scientist to join their Revenue Operations Domain. You will develop predictive models and translate complex data into actionable strategies, directly impacting business decisions. The ideal candidate has over 3 years of experience in Data Science, strong Python and SQL skills, and the ability to clearly communicate insights. Join a fast-growing team focused on improving customer acquisition and retention using advanced analytics and machine learning. #J-18808-Ljbffr

Oskused

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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