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Position: Data Scientist (m/w/d)
Institution: Agco
Location: Marktoberdorf, Bayern, Germany
Duties: Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making; Engages with business leaders and functional domain experts to map business ideas & opportunities into analytical use cases and defines an implementation strategy; Uses statistical analysis and machine learning techniques to carry out descriptive, diagnostic, predictive and prescriptive analytics use cases; Determine appropriate analytics technique for addressing classes of business problems. Assesses feasibility of analytics use cases in POC studies; Maps analytical insights into actionable recommendations. Uses data visualizations and story telling to explain analytical KPI‘s and to make them relevant to the business; Acts as a change agent to drive data driven decision making within the organisation
Requirements: Completed university studies (Bachelor/Master); Minimum of 3+ years work experience focusing primarily on data analytics subjects; Ability to conduct detailed root-cause analyses, integrate multiple data sets, generate insights and provide innovative business solutions; Ability to work independently as well as part of a team and communicate analytics-related business value towards stakeholders (data story telling); Advanced analytics tools (Python, R, SAS, SQL etc.) to carry out statistical and machine learning analysis
   
Text: Data Scientist (m/w/d) Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making; Engages with business leaders and functional domain experts to map business ideas & opportunities into analytical use cases and defines an implementation strategy; Uses statistical analysis and machine learning techniques to carry out descriptive, diagnostic, predictive and prescriptive analytics use cases; Determine appropriate analytics technique for addressing classes of business problems. Assesses feasibility of analytics use cases in POC studies; Maps analytical insights into actionable recommendations. Uses data visualizations and story telling to explain analytical KPI‘s and to make them relevant to the business; Acts as a change agent to drive data driven decision making within the organisation Completed university studies (Bachelor/Master); Minimum of 3+ years work experience focusing primarily on data analytics subjects; Ability to conduct detailed root-cause analyses, integrate multiple data sets, generate insights and provide innovative business solutions; Ability to work independently as well as part of a team and communicate analytics-related business value towards stakeholders (data story telling); Advanced analytics tools (Python, R, SAS, SQL etc.) to carry out statistical and machine learning analysis
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