Βασικό
Data Scientist Marketing Science — ML & Big Data (Remote)
Δημοσιεύτηκε: 18.05.2026
Καταληκτική ημερομηνία: 02.07.2026
Αναφορά εργασίας: e748174f500afd2cb10f4172617084df
Πληροφορίες εργασίας
Τοποθεσία
novara, piemonte, Italy
Εταιρεία
JR Italy
Πελάτης / Εργοδότης
Jakala Group S.p.A.
Αναφορά εργασίας
e748174f500afd2cb10f4172617084df
Τύπος καταχώρησης
Βασικό
Απαιτείται άδεια εργασίας της ΕΕ
Όχι
Δημοσιεύτηκε
18.05.2026
Καταληκτική ημερομηνία
02.07.2026
Περιγραφή καθηκόντων
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.
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Δεξιότητες
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