2024. 04. 18. | Teljes munkaidõ | Budapest | 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. 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. 18. | Teljes munkaidõ | Győr | 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. 18. | Teljes munkaidõ | Debrecen | Vitesco TechnologiesProcessesAdvanced level of English languageUser level knowledge on MS Office and SAPKnowledge on Quality standards and statistical methods (APQP, SPC, PPAP, MSA, 6Sigma, 8D, Ishikawa, basic quality tool and so on.)Great communication skills
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | Morgan StanleyOr a related quantitative field (Master’s or Ph.D. is an advantage)• Genuine and broad interest in financial markets, data and modelling; internal drive to spot, challenge and fix potential gaps and inconsistencies in statistical models using quantitative methods• Logical thinking, good business sense
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 | 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
Nézze később2024. 04. 12. | Teljes munkaidõ | Szeged | 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
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