Grundlegend
Data Scientist - Start Immediately
Gepostet: 18.05.2026
Abschlussdatum: 02.07.2026
Berufsreferenz: 358f113a4c59d5240d96d2093e5ca834
Stelleninformationen
Lage
Lisboa, Lisbon Metropolitan Area, Portugal
Gesellschaft
Jobio
Kunde / Arbeitgeber
Bee Engineering
Berufsreferenz
358f113a4c59d5240d96d2093e5ca834
Auflistungstyp
Grundlegend
EU-Arbeitserlaubnis erforderlich
Nein
Gepostet
18.05.2026
Abschlussdatum
02.07.2026
Stellenbeschreibung
We are looking for an enthusiastic Data Scientist to join our high calibre team at Bee Engineering in Lisboa.Growing your career as a Full Time Data Scientist is a fantastic opportunity to develop competitive skills.If you are strong in problem-solving, communication and have the right initiative for the job, then apply for the position of Data Scientist at Bee Engineering today!//Hive motto if (motivation.status() == false) {motivation.start(); me.beeAwesome(motivation);} Somos uma consultora de tecnologias de informação que apoia, todos os dias, os seus clientes e parceiros a chegar mais longe, em projetos de outsourcing, projetos fechados, serviço gerido, experiências gamificadas e nearshore. A BeeTeam é uma equipa diversa de cerca de 200 profissionais que se movem como um todo para atingir um propósito: o sucesso. Hive needs Licenciatura em Engenharia Informática, Matemática ou similar; Conhecimentos comprovados em Data Warehousing e Data Marts; Experiência na implementação de ETL ; Experiência com SQL superior a 2 anos; Conhecimentos com linguagens de scripting (Python e R); Conhecimentos em inglês fundamentais e francês é uma mais valia. Hive Life Global Mindset | integração numa empresa internacional de rápido crescimento; Continuous Learning | plano de formação e certificação gratuitas em tecnologias, metodologias, línguas e soft-skills; Infinite Feedback | acompanhamento e progressão de carreira; Healthy Hive | Seguro de saúde, dentário e seguro de vida; Partnerships| benefícios e descontos em restaurantes, ginásios, viagens, farmácias e muito mais; One to one | valorizamos a comunicação aberta entre todos; Celebrations| celebramos juntos perto ou longe; Special Days| dias especiais festejados em conjunto e com prendas especiais; Bring a Friend/ Referral Program | programa de referência de colegas e amigos; Bee yourserlf, honey| defendemos o equilíbrio entre trabalho e vida pessoal; Stack| portátil, pacote de dados e kit de boas-vindas. Diversity| Na Bee Engineering defendemos a igualdade e valorizamos a diversidade. Criamos um ambiente seguro, diversificado e onde as oportunidades são iguais para todos os colaboradores. Não discriminamos com base em idade, etnia, orientação sexual, género, deficiência ou qualquer fator que não seja o mérito. Todas as candidaturas com competências para o cargo são bem-vindas. Não fiques por aqui e vem conhecer-nos Candidate-se aqui api:2a02:c207:2011:6863::1:39d709ee33eeea0d83c8d79b54067c81:******** :32:36Benefits of working as a Data Scientist in Lisboa:● Excellent benefits● Advancement opportunities● Competitive salary
Fähigkeiten
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