Bază
Remote Data Scientist
Postat: 19.05.2026
Data limitării: 03.07.2026
Referință pentru job: 3443bdde8807480bd219c401c2304ff5
Informații despre job
Localizare
torino, piemonte, Italy
Companie
JR Italy
Client / Angajator
Altro
Referință pentru job
3443bdde8807480bd219c401c2304ff5
Tipul listării
Bază
Este necesar permis de muncă UE
Nu
Postat
19.05.2026
Data limitării
03.07.2026
Descrierea postului
We will get back to you as soon as the selection process reopens, if your profile matches our needs.Agile Lab is a company founded in 2014 with the mission to create value for its customers in data‐intensive environments through customisable solutions that establish performance‐driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology‐agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.With a highly skilled team of over 160 data engineers based in Europe, Agile Lab helps organisations with their data‐driven are seeking a skilled Data Scientist IV to join our team.Mentors junior engineers;Builds ML solutions incorporating software engineering quality standards and data engineering best practices;Understands and optimizes and monitors model performances;Bachelor's degree in Computer Engineering or Computer Science;Previous experience as a Data Scientist or Machine Learning Engineer (+6 years);In‐depth knowledge of statistics, classical machine learning;In‐depth knowledge of at least one machine learning framework such as Tensorflow, PyTorch or scikit‐learn;Good knowledge of programming languages including advanced Python patterns;Familiarity with software lifecycle practices (testing, release, deploy) and git‐based workflows;Good project management skills;Languages: both Italian and English;Remote or smart working and work life balance;Training monthly budget;We like data, certainly, so anything that is measurable;Candidates who successfully complete our selection process will be included in the Agile Lab ranking, valid for six months.This position is open to all candidates, regardless of gender, and we strongly encourage applications from...
Abilități
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