Osnovno

Data Scientist (f/m/div.)

Lisboa, Lisbon Metropolitan Area, Portugal Tvrtka: Jobio Klijent / Poslodavac: Bosch Group
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

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