Bunúsach

Remote Data Scientist

torino, piemonte, Italy Cuideachta: JR Italy Cliant / Fostóir: Altro
Postáilte: 19.05.2026
Dáta deiridh: 03.07.2026
Tagairt poist: 3443bdde8807480bd219c401c2304ff5

Eolas faoin bpost

Suíomh
torino, piemonte, Italy
Cuideachta
JR Italy
Cliant / Fostóir
Altro
Tagairt poist
3443bdde8807480bd219c401c2304ff5
Cineál liostála
Bunúsach
Cead oibre AE ag teastáil
Ní hea
Postáilte
19.05.2026
Dáta deiridh
03.07.2026

Cur síos ar an bpost

We will get back to you as soon as the selection process reopens, if your profile matches our needs.Agile Lab is a company founded in 2014 with the mission to create value for its customers in data‐intensive environments through customisable solutions that establish performance‐driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology‐agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.With a highly skilled team of over 160 data engineers based in Europe, Agile Lab helps organisations with their data‐driven are seeking a skilled Data Scientist IV to join our team.Mentors junior engineers;Builds ML solutions incorporating software engineering quality standards and data engineering best practices;Understands and optimizes and monitors model performances;Bachelor's degree in Computer Engineering or Computer Science;Previous experience as a Data Scientist or Machine Learning Engineer (+6 years);In‐depth knowledge of statistics, classical machine learning;In‐depth knowledge of at least one machine learning framework such as Tensorflow, PyTorch or scikit‐learn;Good knowledge of programming languages including advanced Python patterns;Familiarity with software lifecycle practices (testing, release, deploy) and git‐based workflows;Good project management skills;Languages: both Italian and English;Remote or smart working and work life balance;Training monthly budget;We like data, certainly, so anything that is measurable;Candidates who successfully complete our selection process will be included in the Agile Lab ranking, valid for six months.This position is open to all candidates, regardless of gender, and we strongly encourage applications from...

Scileanna

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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