Basic

Senior Data Scientist / Machine Learning Expert

Veldhoven, The Netherlands Company: Qreer
Posted: 18.05.2026
Closing date: 02.07.2026
Job reference: 2f78adca6391106ab02c2b3c7bc2607a

Job information

Location
Veldhoven, The Netherlands
Company
Qreer
Job reference
2f78adca6391106ab02c2b3c7bc2607a
Listing type
Basic
EU work permit required
No
Posted
18.05.2026
Closing date
02.07.2026

Job description

Are you the experienced dataIntroductionAre you the experienced datascientist that can generate actionable insights from Big Data by advancedmodeling? Are you able to identify, develop and apply the most effective and robust machinelearning approach to analyze complex machine data and apply the results toimprove performance and diagnostics capabilities? Do you consider it part ofyour job to inspire others and share your knowledge with your colleagues, thenread on!Job MissionAs a Senior Data Scientist you areresponsible for: - Technical leadership within projects - Breakdown the challenge into project work items and superviseprogress - Provide guidance to the (jr) data scientists in how to apply advanced dataanalytics methods dependent on the nature of the challenge, the expectedinsights to be gained, and the quality, density and quantity of available data - Work closely with domain experts to find and validate causal relations andto interpret predictive models - Ensure documentation and knowledge sharing at various levels in theorganization - Safeguard quality output of the data science team - Competence leadership for data science - Share your knowledge and insights with colleagues from different disciplines - Help build a dedicated data science training curriculum together with thegroup lead - Apply and further develop methodologies and models to help the team find theright approach per challenge type - Leverage your professional network to accelerate knowledge and skillsbuild-up Job DescriptionYou will be working in amulti-disciplinary team of data scientists, physicists, computer scientists,and engineers to uncover causal relationships between equipment parameters andsystem performance. Implement (un-)supervised machine learning models on thehigh-dimensional feature space of the most advanced microlithography machinesaround the globe, for which you can leverage a high-performance computercluster that ranks in the top 100 of the world. EducationPhD in Machine Learning, DataScience, Applied Statistics, Applied Mathematics, Econometrics or relatedPersonal skills - Proven track record with >5years of experience in Advanced Data Analytics and/or Statistical MachineLearning on structured and unstructured data, preferably in the high-techsector - Advanced skills and knowledge in Statistical Modeling and Predictive Modeling,excellent coding skills using state-of-the-art machine learning libraries (e.g.Python/R) - Hands-on experience with large-scale computing and machine learningmodel deployment in production - - Experience or affinity with finding causality in signals, developingpredictive models, capturing uncertainty in models, interactive visualizationand user interaction - Innovation mindset, capable ofproviding creative and good quality (robust and effective) solutions Context of the position - Within ASML, the sectorDevelopment & Engineering is responsible for the development, specificationand design of new ASML products. - Within Development & Engineering, the CSI department delivers andadvances state-of-the- art methods and techniques for the structural improvementof the performance and quality of scanner components. - The holder of this position reports to the manager of CSI Data Science &Engineering group.

Skills

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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