Základní

Data Scientist - with Great Benefits

Lisboa, Lisbon Metropolitan Area, Portugal Společnost: Jobio Klient / Zaměstnavatel: Noesis Portugal
Zveřejněno: 18.05.2026
Datum uzavření: 02.07.2026
Pracovní reference: a75effdce3a7802ad0e1fa1d49b2df16

Informace o pracovních pozicích

Poloha
Lisboa, Lisbon Metropolitan Area, Portugal
Společnost
Jobio
Klient / Zaměstnavatel
Noesis Portugal
Pracovní reference
a75effdce3a7802ad0e1fa1d49b2df16
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
18.05.2026
Datum uzavření
02.07.2026

Popis práce

We are hiring a confident Data Scientist to join our passionate team at Noesis Portugal in Lisboa.Growing your career as a Full Time Data Scientist is a great opportunity to develop useful skills.If you are strong in people management, adaptability and have the right experience for the job, then apply for the position of Data Scientist at Noesis Portugal today! Noesis is looking for professionals with the following profile: Responsibilities: •Deliver value to our clients by helping them develop the best data-driven solutions, which is achieved through deliverables ranging from a strategic roadmap towards a data-driven organization to an advanced decision-support tool using the latest AI techniques •Work with national and international clients •Conduct complex statistical analysis in Python •Design, plan and build end-to-end data science solutions •Take a leading role in guide and inspire your team to deliver the highest quality •Work with teams of Data Scientists and Data Engineers •A BSc or MSc degree (e.g., Computer Science, Econometrics, Mathematics, Physics, Data Science, AI, Computer Science) Skills: •3 years working experience in areas such as Data Science, Advanced Analytics, Data Engineering or Artificial Intelligence (Consultancy is a big plus) •Experience working with any of the major cloud technologies (Azure, AWS, GCP); •Fluent in Python and SQL; •Works with ML libraries such as PySpark, Pytorch, Tensorflow; •Experience building data science solutions end-to-end through professional projects; •Experience with Time Series Forecasting, Recommendation systems or Natural language; •Knowledge of data pipelines, such as Airflow, Kubeflow; •Good command of the English language and communication skills; If you meet these requirements and are interested in joining an audacious and innovative company, please send us a copy of your CV to , including the job reference IJ_006__1_23_5389. Please check to see all opportunities we currently have open, or feel free to send us a spontaneous application. Join us. Let’s innovate together! Poderá encontrar o anúncio original publicado em: Benefits of working as a Data Scientist in Lisboa:● Learning opportunities● Company offers career progression opportunities● Competitive salary

Dovednosti

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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