Základní
Data Scientist - with Great Benefits
Zveřejněno: 18.05.2026
Datum uzavření: 02.07.2026
Pracovní reference: a75effdce3a7802ad0e1fa1d49b2df16
Informace o pracovních pozicích
Poloha
Lisboa, Lisbon Metropolitan Area, Portugal
Společnost
Jobio
Klient / Zaměstnavatel
Noesis Portugal
Pracovní reference
a75effdce3a7802ad0e1fa1d49b2df16
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
18.05.2026
Datum uzavření
02.07.2026
Popis práce
We are hiring a confident Data Scientist to join our passionate team at Noesis Portugal in Lisboa.Growing your career as a Full Time Data Scientist is a great opportunity to develop useful skills.If you are strong in people management, adaptability and have the right experience for the job, then apply for the position of Data Scientist at Noesis Portugal today! Noesis is looking for professionals with the following profile: Responsibilities: •Deliver value to our clients by helping them develop the best data-driven solutions, which is achieved through deliverables ranging from a strategic roadmap towards a data-driven organization to an advanced decision-support tool using the latest AI techniques •Work with national and international clients •Conduct complex statistical analysis in Python •Design, plan and build end-to-end data science solutions •Take a leading role in guide and inspire your team to deliver the highest quality •Work with teams of Data Scientists and Data Engineers •A BSc or MSc degree (e.g., Computer Science, Econometrics, Mathematics, Physics, Data Science, AI, Computer Science) Skills: •3 years working experience in areas such as Data Science, Advanced Analytics, Data Engineering or Artificial Intelligence (Consultancy is a big plus) •Experience working with any of the major cloud technologies (Azure, AWS, GCP); •Fluent in Python and SQL; •Works with ML libraries such as PySpark, Pytorch, Tensorflow; •Experience building data science solutions end-to-end through professional projects; •Experience with Time Series Forecasting, Recommendation systems or Natural language; •Knowledge of data pipelines, such as Airflow, Kubeflow; •Good command of the English language and communication skills; If you meet these requirements and are interested in joining an audacious and innovative company, please send us a copy of your CV to , including the job reference IJ_006__1_23_5389. Please check to see all opportunities we currently have open, or feel free to send us a spontaneous application. Join us. Let’s innovate together! Poderá encontrar o anúncio original publicado em: Benefits of working as a Data Scientist in Lisboa:● Learning opportunities● Company offers career progression opportunities● Competitive salary
Dovednosti
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