2024. 04. 21. | Teljes munkaidõ | Miskolc | Nestle PolskaUnderstanding through model development to industrialization • Design, build and maintain statistical/machine learning models to optimize business operations • Explore and experiment with innovative ML techniques and approaches to maximize value generated by the team • Be a thought leader in development
Nézze később2024. 04. 20. | Teljes munkaidõ | Debrecen | RandstadCompanyExperience for supplier managementKnowledge in supplier manufacturing processesAdvanced level of English languageUser level knowledge on MS Office and SAPKnowledge on Quality standards and statistical methods (APQP, SPC, PPAP, MSA, 6Sigma, 8D, Ishikawa, basicquality tool and so on.)Great communication
Nézze később2024. 04. 20. | Teljes munkaidõ | Pécs | Nestle PolskaLifecycle, from business understanding through model development to industrialization • Design, build and maintain statistical/machine learning models to optimize business operations • Lead exploration and experimentation with innovative ML techniques and approaches to maximize value generated by the team
Nézze később2024. 04. 18. | Teljes munkaidõ | Győr | Nestle PolskaLifecycle, from business understanding through model development to industrialization • Design, build and maintain statistical/machine learning models to optimize business operations • Lead exploration and experimentation with innovative ML techniques and approaches to maximize value generated by the team
Nézze később2024. 04. 14. | Teljes munkaidõ | Debrecen | Nestle PolskaLifecycle, from business understanding through model development to industrialization • Design, build and maintain statistical/machine learning models to optimize business operations • Lead exploration and experimentation with innovative ML techniques and approaches to maximize value generated by the team
Nézze később2024. 04. 12. | Teljes munkaidõ | Miskolc | Sigma SoftwareCollect data from various sources, identify and address data quality issues, and convert the data into a format suitable for analysis and modeling. This will involve using data wrangling techniques, data cleaning tools, and data quality checks - Apply statistical methods, data visualization techniques
Nézze később2024. 04. 12. | Teljes munkaidõ | OlsysTo increase data reliability, efficiency, and quality Enable advanced analytics, AI/machine learning, and statistical methods Collaborate well with business process experts, software engineers, QAs, delivery leads, product owners, and other relevant stakeholders Work with the Data Services team to follow
Nézze később2024. 04. 12. | Teljes munkaidõ | Szeged | Sigma SoftwareCollect data from various sources, identify and address data quality issues, and convert the data into a format suitable for analysis and modeling. This will involve using data wrangling techniques, data cleaning tools, and data quality checks - Apply statistical methods, data visualization techniques
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