Job Description:
Global Data Science Manager
Cargill has significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. This position drives the development of the overall advanced analytics capability in Cargill through their strategic thinking and clear communication of its value. This position leads a team of data scientists and other data related professionals who use all the leading advanced analytics techniques to develop solutions and provide actionable insight to Cargill’s businesses. This position insures the deployment of analytics tools to our businesses are sustainable by collaborating with stakeholders in the business and Global IT.
Principal Accountabilities:
30% - Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly as it relates to use and analysis of internal data. Bring new strategic insights to Cargill’s commercial enterprises as well as trading businesses through leading data analysis, determining project scope and deliverables, and developing advanced tools and standard schemas to leverage proprietary data sources.
30% - Build and leverage a portfolio of projects to meet the business strategy while ensuring data science resources are going towards the highest value projects.
20% - Continuously seek out industry best practice and skills development to create new capabilities for data analytics at Cargill to drive better trading and business decisions.
20% - Provide thought leadership to Cargill senior managers, and mentoring to data scientists and database specialists in the team.
Qualifications
Required :
Masters degree from an accredited college/university in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development Strong knowledge of databases and/or data models, Statistics (Regression, Clustering, Decision trees, Hyper graphs etc.), Simulation, scenario analysis, etc. At least 4 years of experience in directly supervising a team working in analytics/ data science At least 7 years of experience in the data science field History of demonstrating commercial value of analytics Excellent communication skills, both written and verbal, to wide variety of audiences, including at the executive level Must be self-motivating and driven Business savvy and ability to handle significant complexity.
Preferred:
PhD from an accredited college/university in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields. More than 6 years of experience leading a team working analytics/ data science. Experience in agriculture or commodity businesses. Equal Opportunity Employer, including Disability/Vet.
Job Information Technology
Primary Location US-MN-Plymouth
Schedule Full-time
Job Type Standard
Shift Day Job
Additional Info:
[Click Here to Access the Original Job Post]
Global Data Science Manager
Cargill has significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. This position drives the development of the overall advanced analytics capability in Cargill through their strategic thinking and clear communication of its value. This position leads a team of data scientists and other data related professionals who use all the leading advanced analytics techniques to develop solutions and provide actionable insight to Cargill’s businesses. This position insures the deployment of analytics tools to our businesses are sustainable by collaborating with stakeholders in the business and Global IT.
Principal Accountabilities:
30% - Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly as it relates to use and analysis of internal data. Bring new strategic insights to Cargill’s commercial enterprises as well as trading businesses through leading data analysis, determining project scope and deliverables, and developing advanced tools and standard schemas to leverage proprietary data sources.
30% - Build and leverage a portfolio of projects to meet the business strategy while ensuring data science resources are going towards the highest value projects.
20% - Continuously seek out industry best practice and skills development to create new capabilities for data analytics at Cargill to drive better trading and business decisions.
20% - Provide thought leadership to Cargill senior managers, and mentoring to data scientists and database specialists in the team.
Qualifications
Required :
Masters degree from an accredited college/university in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development Strong knowledge of databases and/or data models, Statistics (Regression, Clustering, Decision trees, Hyper graphs etc.), Simulation, scenario analysis, etc. At least 4 years of experience in directly supervising a team working in analytics/ data science At least 7 years of experience in the data science field History of demonstrating commercial value of analytics Excellent communication skills, both written and verbal, to wide variety of audiences, including at the executive level Must be self-motivating and driven Business savvy and ability to handle significant complexity.
Preferred:
PhD from an accredited college/university in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields. More than 6 years of experience leading a team working analytics/ data science. Experience in agriculture or commodity businesses. Equal Opportunity Employer, including Disability/Vet.
Job Information Technology
Primary Location US-MN-Plymouth
Schedule Full-time
Job Type Standard
Shift Day Job
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]