Βασικό
Data Scientist - Fast Hire
Δημοσιεύτηκε: 18.05.2026
Καταληκτική ημερομηνία: 02.07.2026
Αναφορά εργασίας: ee333f7a9578b7c49bef58c3f3647239
Πληροφορίες εργασίας
Τοποθεσία
Lisboa, Lisbon Metropolitan Area, Portugal
Εταιρεία
Jobio
Πελάτης / Εργοδότης
Devoteam
Αναφορά εργασίας
ee333f7a9578b7c49bef58c3f3647239
Τύπος καταχώρησης
Βασικό
Απαιτείται άδεια εργασίας της ΕΕ
Όχι
Δημοσιεύτηκε
18.05.2026
Καταληκτική ημερομηνία
02.07.2026
Περιγραφή καθηκόντων
We are searching for an energetic Data Scientist to join our growing team at Devoteam in Lisboa.Growing your career as a Full Time Data Scientist is a great opportunity to develop useful skills.If you are strong in creativity, people management and have the right personality for the job, then apply for the position of Data Scientist at Devoteam today! Data Scientist, Remote About Devoteam At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organizations across EMEA, with a revenue of €652M. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 18 EMEA countries. Become one of our +8.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. About the job The purpose of the Data Scientist is to analyze large amounts of data that help us make smarter decisions to deliver even better solutions. Our ideal candidate for this role should have a good background as a Data Scientist and critical thinking and problem-solving skills for interpreting data. If this opportunity is for you, apply today! We will rely on you to: - Identify valuable data sources and automate collection processes; - Analyze large amounts of information; - Build predictive models and machine-learning algorithms; - Report the data using data visualization techniques. What we're looking for: - 2 years of experience in Data Science; - Bachelor degree in Computer Science, Mathematic or similar; - Hands-on in R, SQL and Python; - Good knowledge of Scala or Java; - Experience in data mining; - Experience in Cloud (AWS, GCP or Azure); - Fluency in English (spoken and written). Does this sound like you? Come build with us, innovative solutions that actively change things for the better. Apply today! Send your CV to Ver o e-mail no computerworld.com.pt api:2a02:c207:2011:6863::1:39d709ee33eeea0d83c8d79b54067c81:******** :52:46Benefits of working as a Data Scientist in Lisboa:● Excellent benefits● Opportunities to grow● Attractive package
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