Βασικό

Data Scientist - Fast Hire

Lisboa, Lisbon Metropolitan Area, Portugal Εταιρεία: Jobio Πελάτης / Εργοδότης: Devoteam
Δημοσιεύτηκε: 18.05.2026
Καταληκτική ημερομηνία: 02.07.2026
Αναφορά εργασίας: ee333f7a9578b7c49bef58c3f3647239

Πληροφορίες εργασίας

Τοποθεσία
Lisboa, Lisbon Metropolitan Area, Portugal
Εταιρεία
Jobio
Πελάτης / Εργοδότης
Devoteam
Αναφορά εργασίας
ee333f7a9578b7c49bef58c3f3647239
Τύπος καταχώρησης
Βασικό
Απαιτείται άδεια εργασίας της ΕΕ
Όχι
Δημοσιεύτηκε
18.05.2026
Καταληκτική ημερομηνία
02.07.2026

Περιγραφή καθηκόντων

We are searching for an energetic Data Scientist to join our growing team at Devoteam in Lisboa.Growing your career as a Full Time Data Scientist is a great opportunity to develop useful skills.If you are strong in creativity, people management and have the right personality for the job, then apply for the position of Data Scientist at Devoteam today! Data Scientist, Remote About Devoteam At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organizations across EMEA, with a revenue of €652M. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 18 EMEA countries. Become one of our +8.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. About the job The purpose of the Data Scientist is to analyze large amounts of data that help us make smarter decisions to deliver even better solutions. Our ideal candidate for this role should have a good background as a Data Scientist and critical thinking and problem-solving skills for interpreting data. If this opportunity is for you, apply today! We will rely on you to: - Identify valuable data sources and automate collection processes; - Analyze large amounts of information; - Build predictive models and machine-learning algorithms; - Report the data using data visualization techniques. What we're looking for: - 2 years of experience in Data Science; - Bachelor degree in Computer Science, Mathematic or similar; - Hands-on in R, SQL and Python; - Good knowledge of Scala or Java; - Experience in data mining; - Experience in Cloud (AWS, GCP or Azure); - Fluency in English (spoken and written). Does this sound like you? Come build with us, innovative solutions that actively change things for the better. Apply today! Send your CV to Ver o e-mail no computerworld.com.pt api:2a02:c207:2011:6863::1:39d709ee33eeea0d83c8d79b54067c81:******** :52:46Benefits of working as a Data Scientist in Lisboa:● Excellent benefits● Opportunities to grow● Attractive package

Δεξιότητες

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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