Design and deliver practical training programs to advance the organization's scientific, analytical, and statistical skills, fostering a culture of continuous improvement in data-related competencies; Partner with the product biology technical lead in AMEA, interpreting complex data to extract technical insights and provide robust analytics support that informs product development strategies; Conduct comprehensive analysis of extensive datasets from both internal and external sources to uncover trends and patterns and generate actionable insights that drive strategic decisions; Engineer streamlined methodologies for automating data preparation, curation, and organization processes to guarantee high-quality data that supports efficient analytics workflows
Requirements:
MSc or Ph.D. in biostatistics or data science with over three years of work experience or equivalent work experience in related functional areas; Data analytics and statistics: scientific data management, data mining, machine learning, numerical and statistical methods; Data management from field experiments in crop protection product development; Experience developing data visualization platforms via Power BI, Qlik Sense, Tableau, or other RPA tools
Text:
Data Scientist Design and deliver practical training programs to advance the organization's scientific, analytical, and statistical skills, fostering a culture of continuous improvement in data-related competencies; Partner with the product biology technical lead in AMEA, interpreting complex data to extract technical insights and provide robust analytics support that informs product development strategies; Conduct comprehensive analysis of extensive datasets from both internal and external sources to uncover trends and patterns and generate actionable insights that drive strategic decisions; Engineer streamlined methodologies for automating data preparation, curation, and organization processes to guarantee high-quality data that supports efficient analytics workflows MSc or Ph.D. in biostatistics or data science with over three years of work experience or equivalent work experience in related functional areas; Data analytics and statistics: scientific data management, data mining, machine learning, numerical and statistical methods; Data management from field experiments in crop protection product development; Experience developing data visualization platforms via Power BI, Qlik Sense, Tableau, or other RPA tools
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