Perus
Data Scientist - GenAI, ML & API Deployments
Julkaistu: 19.05.2026
Sulkemispäivä: 03.07.2026
Työpaikkaviite: 27782386f08eead0e68f59b66309a5f4
Työpaikkatiedot
Sijainti
treviso, veneto, Italy
Yhtiö
JR Italy
Asiakas / Työnantaja
Page Personnel Italia SPA
Työpaikkaviite
27782386f08eead0e68f59b66309a5f4
Listaustyyppi
Perus
EU-työlupa vaaditaan
Ei
Julkaistu
19.05.2026
Sulkemispäivä
03.07.2026
Työkuvaus
Un'importante organizzazione nel settore Technology cerca un Data Scientist per gestire attività di data engineering e sviluppare modelli di Machine Learning. Il candidato ideale ha una laurea magistrale in materie STEM, solide competenze in Python e SQL, e spiccate capacità analitiche. Viene offerto un contratto a tempo indeterminato, con modalità di smart working e un ambiente di lavoro inclusivo e stimolante. La sede di lavoro sarà a Torino con possibilità di sviluppo professionale.
#J-18808-Ljbffr
Taidot
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