Grundlæggende

Senior Data Scientist

The Netherlands Selskab: Qreer
Opslået: 18.05.2026
Afslutningsdato: 02.07.2026
Jobreference: 7172f740d06ff50a85c50c2e9a8f0d6b

Jobinformation

Beliggenhed
The Netherlands
Selskab
Qreer
Jobreference
7172f740d06ff50a85c50c2e9a8f0d6b
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
18.05.2026
Afslutningsdato
02.07.2026

Jobbeskrivelse

You will evaluate andapply new learning methodologies and develop solutions to improve on-customerproduct performance obtained with ASML machines and applications.IntroductionASML is one of theworld’s leading manufacturers of semiconductor-chip-making equipment. Amajority of the world’s microchips receive their critical lithographicpatterning in machines made by ASML. In addition ASML produces metrology toolsand advanced applications to analyze and optimize the performance of thecustomer production process. At the Business Line Applications, we developAnalytics & Control solutions that improve the accuracy of performancemetrics (such as overlay, focus,critical dimension) as measured on the endproduct of a fab process (wafers with chip structures).Job DescriptionASML is looking for DataScientist to join our Applied Data Science team. We are interested inindividuals with strong knowledge and experience in developing and evaluatingMachine Learning & Data Mining algorithms as well as a broad interest indata handling, modeling and visualization.You will evaluate andapply new learning methodologies and develop solutions to improve on-customerproduct performance obtained with ASML machines and applications. By combiningscanner and metrology data with information on fab usage conditions through techniques from the field of Data Science, you discover relations betweenstochastic variables and design robust and adaptive models that generalize welland can deal with uncertainty.Particularly, the vacancy aims at developing new data analytics, visualizationsand control solutions by cutting edge techniques from Machine Learning and DataMining. Successful methodologies may be included in ASML customer applications.

Færdigheder

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

Lignende job

Foreslåede job

Eurojobs Support Assistant