Basis
Data Scientist: Predictive Models, LLMs & MLOps
Geplaatst: 18.05.2026
Sluitingsdatum: 02.07.2026
Functiereferentie: 6d68672ad5ae28b3093511d32eb022e1
Functie-informatie
Locatie
pordenone, friuli venezia giulia, Italy
Bedrijf
JR Italy
Klant / Werkgever
Sellagestioni
Functiereferentie
6d68672ad5ae28b3093511d32eb022e1
Vermeldingstype
Basis
EU-werkvergunning vereist
Nee
Geplaatst
18.05.2026
Sluitingsdatum
02.07.2026
Functiebeschrijving
* Preferibile esperienza su attività di sviluppo di modelli predittivi e/o utilizzo di LLM* Conoscenza dei moduli Python standard in ambito analytics (scikit-learn, pandas, numpy, ecc)* Conoscenza Reti Neurali e framework per loro implementazione* Conoscenza di altri linguaggi di programmazione (R, Scala, ecc)* Conoscenza di framework BigData (Hadoop / Kafka / Spark / ecc)* Esperienza con tools di MLOps* Esperienza con strumenti di Business Intelligence (PowerBI, Board, ecc)* Conoscenza di unix, networking, docker, cloudIf you’re interested in joining our group but haven’t found the perfect position for you yet, please to share your details with us anyway — this will allow us to get in touch with you in the future.Take your time to carefully fill in all the fields, especially the section dedicated to your skills: the more accurately you describe your abilities and expertise, the greater your chances of a successful match when new opportunities arise.Let’s stay in touch, and best of luck!
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Vaardigheden
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