Temel
Data Scientist
Yayınlandı: 18.05.2026
Kapanış tarihi: 02.07.2026
İş referansı: 2d733c0901cd071b265bd5442e845118
İş bilgileri
Konum
Lisboa, Lisbon Metropolitan Area, Portugal
Şirket
Jobio
Müşteri / İşveren
Growin
İş referansı
2d733c0901cd071b265bd5442e845118
Listeleme türü
Temel
AB çalışma izni zorunlu
Hayır
Yayınlandı
18.05.2026
Kapanış tarihi
02.07.2026
İş tanımı
WE DEVELOP PEOPLE WHO DEVELOP TECHNOLOGYAnd we want to develop you!At Growin people always come first.Why? Because we believe happy, talented people are the ones who can change the world: one code line at a time.We have several projects waiting for you all over Portugal - both hybrid and full remote - where you can grow professionally and take your career to the next level.Are you a savvy Data Scientist seeking a new challenge in a dynamic team of data experts? We want to know more about you!Tell us about your:experience with automate data collection processesexperience in developing predictive models using algorithmsexperience in Python and PySparkability to communicate in English We’ve got your backAt Growin, we encourage our people to be the best versions of themselves. And we do it together, because we believe Together We Grow Better.What's in it for you?a tailor-made career management planopportunity to learn and grow professionallywork-life balancea phenomenal and supportive team… and so much more!What are you waiting for to join us?
Yetenekler
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