Osnovno
Data Scientist (f/m/div.)
Objavljeno: 18.05.2026
Datum zatvaranja: 02.07.2026
Preporuka za posao: a3e7c2f02794dc55e8d8bd73bde252f3
Informacije o poslu
Lokacija
Lisboa, Lisbon Metropolitan Area, Portugal
Tvrtka
Jobio
Klijent / Poslodavac
Bosch Group
Preporuka za posao
a3e7c2f02794dc55e8d8bd73bde252f3
Vrsta popisa
Osnovno
Potrebna je radna dozvola EU-a
Ne
Objavljeno
18.05.2026
Datum zatvaranja
02.07.2026
Opis posla
Company DescriptionAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization. Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers.Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide.Job Description Create, optimize and deploy new and innovative Machine Learning architectures based on RGB,Radar and/or ToF camera fusion systems; Define and interact on innovative sensor fusion system architectures for vehicle interior sensing monitoring; Work in close cooperation with Research and innovation team improve and optimize new solutions; Understand and analyze the interplay of hardware, software and algorithm architectures and applications.Qualifications MSc or Ph.D. in Computer Science, Embedded Systems, Machine Learning or related AI field; At least 2-3 years of relevant experience in the field; Strong programming skills in Python and C++. Strong background in Digital Signal Processing, Computer Vision, Deep Learning; Expertise with transformer-based architectures related to 3D Object Detection and classification; Familiarity with deep learning frameworks (e.g. Tensorflow/PyTorch); Enthusiasm in working on vehicle interior sensing innovation; Solid technical mindset, teamwork and communication skills. Very good written and verbal communication skills in English.Additional InformationWhat we offer you: Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity. Success stories don´t just happen. They are made...Make it happen! We are looking forward to your application!
Vještine
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