Job Description:
Want to work at the forefront of artificial intelligence and agriculture? Cargill has a 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 will be part of the Engineering R&D team and will bring strong technical skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, computer vision, machine learning, and statistical analysis, to develop solutions that help deliver significant value to a variety of Cargill’s businesses and functions. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive excellence, operational efficiency, sourcing and procurement, supply-chain optimization to trading and financial analysis. Principal Accountabilities: 10% Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope. 10% Work in a cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables on-time and within budget. 10% Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources. 50% Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users. 20% Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at Cargill to improve business decisions. This position is posted internally as well as externally Equal Opportunity Employer, including Disability/Vet.
Additional Info:
Equal Opportunity Employer, including Disability/Vet. Job: Research and Development Primary Location: US-MN-Plymouth Schedule: Full-time Job Type: Standard Shift: Day Job[Click Here to Access the Original Job Post]
Want to work at the forefront of artificial intelligence and agriculture? Cargill has a 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 will be part of the Engineering R&D team and will bring strong technical skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, computer vision, machine learning, and statistical analysis, to develop solutions that help deliver significant value to a variety of Cargill’s businesses and functions. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive excellence, operational efficiency, sourcing and procurement, supply-chain optimization to trading and financial analysis. Principal Accountabilities: 10% Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope. 10% Work in a cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables on-time and within budget. 10% Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources. 50% Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users. 20% Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at Cargill to improve business decisions. This position is posted internally as well as externally Equal Opportunity Employer, including Disability/Vet.
Qualifications
Required:- Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.
- Minimum 2 years relevant work experience (if Bachelor’s degree) or minimum 0 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills.
- In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models.
- Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools.
- In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks.
- Experience in software development environment, Agile, and code management/versioning (e.g. git).
- Strong SQL skills and experience/knowledge.
- Ability to understand complex and ambiguous business needs and applying the right tools and approaches.
- Must be curious, self-motivating, driven and have a passion for problem solving.
- Collaborative team player.
- Excellent communication skills, both written and verbal.
- Experience developing and testing machine learning and/or statistical projects.
- Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way.
- Master’s degree from an accredited college/university in Business Analytics, Computer Science, Machine Learning, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields.
- Experience in agriculture or commodity businesses.
- Experience in deep learning neural networks.
- Experience with weather and geospatial data.
- Experience with “computer vision” applications with images and video
- Experience with back testing strategies
- Experience working in a cloud environment e.g. Amazon Web Services.
- Experience with Big Data development in Hadoop and Spark frameworks.
- Experience with predictive model deployment, tuning, and performance monitoring
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Additional Info:
Equal Opportunity Employer, including Disability/Vet. Job: Research and Development Primary Location: US-MN-Plymouth Schedule: Full-time Job Type: Standard Shift: Day Job[Click Here to Access the Original Job Post]