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71 Treffer für data-science Jobs in Südösterreich im Umkreis von 30 km
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring. * Mentor and provide technical guidance on best practices in data science and machine learning. * Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices. * Contribute to the continuous advancement of data science, artificial intelligence, and Industry 4.0 initiatives within the organization. * Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a r
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring. * Mentor and provide technical guidance on best practices in data science and machine learning. * Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices. * Contribute to the continuous advancement of data science, artificial intelligence, and Industry 4.0 initiatives within the organization. * Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a r
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Manager, Advanced Technologies - Data Science & Equipment Intelligence (all genders)
Manager, Advanced Technologies - Data Science & Equipment Intelligence (all genders)
Lam Research
Villach
Lead and develop the Advanced Technologies Team, driving innovation in Data Science, Artificial Intelligence, Machine Learning, and Equipment Intelligence including Vision System for semiconductor spin clean tools. * Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical discipline. * 8+ years of experience in Data Science, Machine Learning, AI, Analytics, Software Engineering, or Equipment Intelligence, including experience delivering production-grade solutions. * Experience managing data science teams within semiconductor equipment development. * Strong understanding of machine learning, data engineering, big data architectures, predictive analytics, and intelligent systems.
Lead and develop the Advanced Technologies Team, driving innovation in Data Science, Artificial Intelligence, Machine Learning, and Equipment Intelligence including Vision System for semiconductor spin clean tools. * Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical discipline. * 8+ years of experience in Data Science, Machine Learning, AI, Analytics, Software Engineering, or Equipment Intelligence, including experience delivering production-grade solutions. * Experience managing data science teams within semiconductor equipment development. * Strong understanding of machine learning, data engineering, big data architectures, predictive analytics, and intelligent systems.
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Abgeschlossenes technisches Studium im Bereich Informatik, Software Engineering, Data Science, Wirtschaftsingenieurwesen oder vergleichbarer Fachrichtung
Abgeschlossenes technisches Studium im Bereich Informatik, Software Engineering, Data Science, Wirtschaftsingenieurwesen oder vergleichbarer Fachrichtung
NEU
Bachelor's degree in Business Administration, Information Technology, Computer Science, Data Science, Industrial Engineering, Process Management, Digital Transformation, or a related field. You will collaborate with business, IT, and data experts to translate AI potential into measurable business value.
Bachelor's degree in Business Administration, Information Technology, Computer Science, Data Science, Industrial Engineering, Process Management, Digital Transformation, or a related field. You will collaborate with business, IT, and data experts to translate AI potential into measurable business value.
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Technische Ausbildung, abgeschlossenes technisches Studium (z. B. Technische Physik, Meteorologie, Maschinenbau, Data Science)
Technische Ausbildung, abgeschlossenes technisches Studium (z. B. Technische Physik, Meteorologie, Maschinenbau, Data Science)
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Abgeschlossenes Masterstudium (M.Sc.) oder Diplomstudium (Dipl.-Ing.) in Industrial Engineering, Physik, Data Science, Produktionstechnik oder einer vergleichbaren Fachrichtung * Praktische Erfahrung oder zertifizierte Micro-Credentials in den Bereichen Künstliche Intelligenz (KI), Data Science, Advanced Analytics, Digital Manufacturing oder verwandten Fachgebieten sind von Vorteil
Abgeschlossenes Masterstudium (M.Sc.) oder Diplomstudium (Dipl.-Ing.) in Industrial Engineering, Physik, Data Science, Produktionstechnik oder einer vergleichbaren Fachrichtung * Praktische Erfahrung oder zertifizierte Micro-Credentials in den Bereichen Künstliche Intelligenz (KI), Data Science, Advanced Analytics, Digital Manufacturing oder verwandten Fachgebieten sind von Vorteil
Bachelor or Master Degree: Statistics/Computer Science/Data Science/ /Industrial Engineering - You will turn complex data into clear, actionable insights to support data-driven decisions. By building scalable solutions and working with cross-functional teams, you will improve analysis and reporting while ensuring data quality and driving innovation. * Process data and automate data flows; manage and optimize data structure & data bases for big data sets * Interact with product and service teams to identify questions and issues for data analysis and experiments * Interpret and communicate data analysis results and experiments to product, service & * Pr
Bachelor or Master Degree: Statistics/Computer Science/Data Science/ /Industrial Engineering - You will turn complex data into clear, actionable insights to support data-driven decisions. By building scalable solutions and working with cross-functional teams, you will improve analysis and reporting while ensuring data quality and driving innovation. * Process data and automate data flows; manage and optimize data structure & data bases for big data sets * Interact with product and service teams to identify questions and issues for data analysis and experiments * Interpret and communicate data analysis results and experiments to product, service & * Pr
Abgeschlossenes Studium im Bereich Wirtschaftsinformatik, Data Science, Business Analytics oder einer vergleichbaren Fachrichtung
Abgeschlossenes Studium im Bereich Wirtschaftsinformatik, Data Science, Business Analytics oder einer vergleichbaren Fachrichtung
University degree in Data Science, Computer Science, Physics or a comparable scientific or technical discipline * Professional experience in Data Science, AI Engineering, Data Engineering or a related technical field, ideally in an industrial environment * Practical experience with relevant Data Science, Machine Learning or AI frameworks and libraries, such as Python, PyTorch or TensorFlow * Developing and implementing AI-driven and data-driven solutions for semiconductor manufacturing * Integrating AI models, data pipelines and AI services into production-related systems * Building and enhancing modern data and AI platforms based on event-streaming and container technologies * Improv
University degree in Data Science, Computer Science, Physics or a comparable scientific or technical discipline * Professional experience in Data Science, AI Engineering, Data Engineering or a related technical field, ideally in an industrial environment * Practical experience with relevant Data Science, Machine Learning or AI frameworks and libraries, such as Python, PyTorch or TensorFlow * Developing and implementing AI-driven and data-driven solutions for semiconductor manufacturing * Integrating AI models, data pipelines and AI services into production-related systems * Building and enhancing modern data and AI platforms based on event-streaming and container technologies * Improv
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AI & Data Developer (m/w/d) - Teilzeit 20h
AI & Data Developer (m/w/d) - Teilzeit 20h
Wolfgang Denzel Auto AG
DENZEL Zentrale Bereiche - Wien Erdberg
Teilweise Home-Office
Schnelle Bewerbung
Du studierst Informatik, Data Science, Wirtschaftsinformatik oder etwas Vergleichbares – und willst nicht nur über KI reden, sondern sie bauen? Du arbeitest an der Schnittstelle vonArtificial Intelligence, Data Engineering, Software Development und Automation .
Du studierst Informatik, Data Science, Wirtschaftsinformatik oder etwas Vergleichbares – und willst nicht nur über KI reden, sondern sie bauen? Du arbeitest an der Schnittstelle vonArtificial Intelligence, Data Engineering, Software Development und Automation .
Noch nichts dabei? Es gibt 61 weitere Jobs, die zu deiner Suche passen könnten
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Engineer R&D - Glass Core PKG - Product and Process Reliability
Engineer R&D - Glass Core PKG - Product and Process Reliability
AT&S Austria Technologie & Systemtechnik AG
Leoben
Analyze experimental data and provide input and recommendations to enhance product performance and improve process efficiency * Bachelor's/Master's in materials science, mechanical engineering, electronics packaging, or related fields
Analyze experimental data and provide input and recommendations to enhance product performance and improve process efficiency * Bachelor's/Master's in materials science, mechanical engineering, electronics packaging, or related fields
Analyze experimental data and provide input and recommendations to enhance product performance and improve process efficiency * Bachelor's or master's degree in Electrical engineering, Materials Science, Chemical Engineering, Mechanical Engineering, Optics/Photonics, or a related field
Analyze experimental data and provide input and recommendations to enhance product performance and improve process efficiency * Bachelor's or master's degree in Electrical engineering, Materials Science, Chemical Engineering, Mechanical Engineering, Optics/Photonics, or a related field
NEU
Analyze measurement data from production and development * University degree in a technical or scientific discipline (e.g., Materials Science, Physics, Chemistry, Electrical Engineering) or equivalent professional experience
Analyze measurement data from production and development * University degree in a technical or scientific discipline (e.g., Materials Science, Physics, Chemistry, Electrical Engineering) or equivalent professional experience
Working in the Metrology and Defect Analysis team within the Cleans Products' Lab Operations organization, you will have as main responsibility the management of the metrology equipment, development of metrology recipes and analytical techniques, data generation and analysis for customer demos and product development. * Develop inspection techniques and metrology recipes supporting the data generation andanalysis for the customer demo support. * Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 2+ years of experience.
Working in the Metrology and Defect Analysis team within the Cleans Products' Lab Operations organization, you will have as main responsibility the management of the metrology equipment, development of metrology recipes and analytical techniques, data generation and analysis for customer demos and product development. * Develop inspection techniques and metrology recipes supporting the data generation andanalysis for the customer demo support. * Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 2+ years of experience.
Together, we support users globally with data, information, and systems to achieve their business objectives. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience
Together, we support users globally with data, information, and systems to achieve their business objectives. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience
Together, we support users globally with data, information, and systems to achieve their business objectives. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 15+ years of related experience or 12+ years with a Master's degree or +8 years with a PhD / MBA or equivalant experience
Together, we support users globally with data, information, and systems to achieve their business objectives. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 15+ years of related experience or 12+ years with a Master's degree or +8 years with a PhD / MBA or equivalant experience
Analyze and consolidate technical data into trade-off studies and material selection matrices to support design and redesign decisions, including associated risk assessments. * Master's degree in Chemistry, Chemical Engineering, Materials Science or related field with 3+ years of experience; or Bachelor's degree with 5+ years; or equivalent experience.
Analyze and consolidate technical data into trade-off studies and material selection matrices to support design and redesign decisions, including associated risk assessments. * Master's degree in Chemistry, Chemical Engineering, Materials Science or related field with 3+ years of experience; or Bachelor's degree with 5+ years; or equivalent experience.
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Schnelle Bewerbung
Build scalable pipelines for robot data collection, sim-to-real transfer, and continual learning across digital twins and real-world deployment. * Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field.
Build scalable pipelines for robot data collection, sim-to-real transfer, and continual learning across digital twins and real-world deployment. * Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field.
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. * Acts as customer technology manager in the planning, data collection, analysis and reporting * MSc in in Chemistry, Materials Science, Chemical Engineering or Physics with with no previous professional experience; or equivalent experience preferably in the field of wet clean/advanced packaging
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. * Acts as customer technology manager in the planning, data collection, analysis and reporting * MSc in in Chemistry, Materials Science, Chemical Engineering or Physics with with no previous professional experience; or equivalent experience preferably in the field of wet clean/advanced packaging
Compiles and evaluates test data to determine appropriate limits and variables for process specifications. * Supports in the planning, data collection, analysis, and reporting of customer demos to defend existing process applications. * Ph.D./MA degree in Materials Science, Chemical Engineering, Chemistry or Physics
Compiles and evaluates test data to determine appropriate limits and variables for process specifications. * Supports in the planning, data collection, analysis, and reporting of customer demos to defend existing process applications. * Ph.D./MA degree in Materials Science, Chemical Engineering, Chemistry or Physics
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. * Acts as customer technology manager in the planning, data collection, analysis and reporting * MSc in in Materials Science, Chemical Engineering, Chemistry or Physics with 6+ years of Process Engineer experience in the semiconductor industry in the field of wet clean/advanced packaging or a PhD with 4+ years' experience; or equivalent experience.
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. * Acts as customer technology manager in the planning, data collection, analysis and reporting * MSc in in Materials Science, Chemical Engineering, Chemistry or Physics with 6+ years of Process Engineer experience in the semiconductor industry in the field of wet clean/advanced packaging or a PhD with 4+ years' experience; or equivalent experience.
Together, we support users globally with data, information, and systems to achieve their business objectives. * Integrate observability data into AI agents, automation workflows, and operational platforms. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience * Experience integrating observability data into automation platforms and AI solutions. * Data Analysis
Together, we support users globally with data, information, and systems to achieve their business objectives. * Integrate observability data into AI agents, automation workflows, and operational platforms. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience * Experience integrating observability data into automation platforms and AI solutions. * Data Analysis
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Field Application Specialist Life Science (m/f/d) with focus on Genomics / Molecular Biology and related applications
Field Application Specialist Life Science (m/f/d) with focus on Genomics / Molecular Biology and related applications
Biomedica Medizinprodukte Gmbh
Wien
Schnelle Bewerbung
We serve customers in the field of medical devices, in-vitro diagnostics, life science products, biomedical immunoassays and clinical IT with headquarters in Vienna. Field Application Specialist Life Science (m/f/d) * Bachelor's degree or higher in Life Sciences, Molecular Biology, Genomics, Biotechnology, or a related field. * Previous experience as a Field Application Specialist in the biotech or life sciences industry is an advantage, but not required. * Opportunity to work with a leading in the life science industry
We serve customers in the field of medical devices, in-vitro diagnostics, life science products, biomedical immunoassays and clinical IT with headquarters in Vienna. Field Application Specialist Life Science (m/f/d) * Bachelor's degree or higher in Life Sciences, Molecular Biology, Genomics, Biotechnology, or a related field. * Previous experience as a Field Application Specialist in the biotech or life sciences industry is an advantage, but not required. * Opportunity to work with a leading in the life science industry
NEU
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Schnelle Bewerbung
Du leitest anspruchsvolle Projekte im Bereich Life Science von der Planung bis zur erfolgreichen Inbetriebnahme.
Du leitest anspruchsvolle Projekte im Bereich Life Science von der Planung bis zur erfolgreichen Inbetriebnahme.
Data Platform Specialist (m/w/d)
Data Platform Specialist (m/w/d)
Wolfgang Denzel Auto AG
DENZEL Zentrale Bereiche - Wien Erdberg
Teilweise Home-Office
Schnelle Bewerbung
Sie haben Erfahrung in Python mit relevanten Data- bzw. Analytics-Libraries Vorteil.
Sie haben Erfahrung in Python mit relevanten Data- bzw. Analytics-Libraries Vorteil.
NEU