Bază
Senior Data Scientist
Postat: 18.05.2026
Data limitării: 02.07.2026
Referință pentru job: 3e298fc6218cfddfce2ae26b5b864984
Informații despre job
Localizare
Lisboa, Lisbon Metropolitan Area, Portugal
Companie
Jobio
Client / Angajator
Luza Group
Referință pentru job
3e298fc6218cfddfce2ae26b5b864984
Tipul listării
Bază
Este necesar permis de muncă UE
Nu
Postat
18.05.2026
Data limitării
02.07.2026
Descrierea postului
Job Title: Senior Data Scientist Location: Lisbon Work Regime: Hybrid (60% office) Step into a dynamic ecosystem where the future of business is created and lived every day. Be part of it! At LUZA Group, passion, perseverance, and the drive to excel define our path to success. Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a turnover surpassing 30M. With a strong presence in key marketsPortugal, Spain, Morocco, Brazil, Mexico, the United States, and Chinawe deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Our people and their talent power everything we do. This is a moment of growth and opportunity. The future belongs to visionary minds. Will you join us? Overview / Summary: We are looking for a Data Scientist, who will use data to solve business issues in different geographies, and work on our Marketing processes.Responsibilities:Run python-based analytical engines (direct marketing, inbound marketing, web navigation) on a regular basis;Collect data (internal & external) and investigate their business value through data analysis;Create and adapt models and tools;Develop & improve data quality controls and standardize processes and analyses;Ensure high quality of delivery;Collect and visualize KPIs on the performance of our in-house models;Create/Update some dashboards.You will integrate the Analytics Hub, an innovative, international and creative team based in Lisbon and Porto. Our working language is English, therefore both written and spoken knowledge in English is mandatory. You will report hierarchically to the Team Leader. The marketing side of the Hub has three mid-sized teams (Data Scientists, Data Analysts and Python developers), working together on complex challenges.The team is recent, agile, and everyone is growing together. More than 20 colleagues are working in the same field as you, sharing ideas and experiences, and you will be able to share your insights with the central teams in Paris.We are prepared to welcome you with an initial onboarding plan, with on the job training, online learning and networking opportunities.#VisionaryFuture - Build the future, join our living ecosystem!
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