Data Analytics Co−op
Location:
, Missouri
Posted:
October 26, 2016
Reference:
01BYE
Achieving Monsanto's vision to produce more, conserve more, and improve lives, requires inspiration, innovation, and a passion for applying state-of-the-art technology to revolutionize agriculture. We are seeking an individual with these core qualities for the Technology Pipeline Solutions (TPS) team within IT. The TPS team works directly with Monsanto scientists to develop software platforms that enable cutting-edge research and development (R&D) to revolutionize plant breeding and biotechnology. TPS provides a dynamic work environment where you will leverage your education, training, and experience and see your skills and career grow and develop, all towards delivering next-generation scientific breakthroughs in high-throughput R&D platforms.
The responsibilities of this position include development of research strategies for discovery projects in the Breeding and Biotechnology platforms. The successful candidate will use the latest innovations in Predictive Analytics, Geospatial Analytics or  Operations Research to propose R&D software solutions that accommodate emerging trends in data quantity and quality. Responsibilities also include design and testing of algorithms and conducting prototyping to evaluate possible scenarios  leveraging computational and statistical techniques for the development of novel approaches for high-throughput data analyses. The successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists internal and external to Monsanto, organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.

Required Skills/Experience for Predictive Analytics Co-op:
* Pursuing PhD in Mathematics, Statistics, Spatial Statistics, Geoinformatics, Environmental Modeling, Engineering, Computer Science, Computational Biology, Bioinformatics, Operations Research, Industrial Engineering, or a related field
* Proficiency in Spatial and/or Temporal Statistical Modeling (Spatial auto-correlation modeling, building spatial econometric models, Topological data analysis, etc.)
* Proficiency in developing and solving network flow problems for planning, scheduling, and space utilization
* Proficiency in Machine learning concepts (data transformations, feature engineering, etc.) and algorithms (Ensembles, Deep Learning, SVM, etc.)
* Theoretical and practical experience in deterministic optimization and algorithm development related to operations management, including experience with CPLEX
* Experience analyzing and presenting complex data and proven problem solving abilities, including experience with statistical and Mathematical programming packages (R or Matlab)
* Drive for translating business problems into research initiatives that deliver business value
* Strong organizational, interpersonal, and written communication skills
* Ability to work in a matrix environment, influencing people at varying levels of responsibility

Required Skills/Experience for Operations Research:
* Pursuing PhD in Operations Research, Industrial Engineering, Management Science, Mathematics, or a related field
* Proficiency in developing and solving combinatorial & network flow problems for planning, scheduling, and space utilization
* Theoretical and practical experience in deterministic optimization and algorithm development related to operations management, including experience with CPLEX & OPL (or AMPL)
* Experience analyzing and presenting complex data and proven problem solving abilities
* Drive for translating business problems into research initiatives that deliver business value
* Strong organizational, interpersonal, and written communication skills
* Ability to work in a matrix environment, influencing people at varying levels of responsibility

Desired Skills/Experience:
* Experience working with agricultural/biological scientific data is highly desired
A little about us:
At Monsanto, we believe that diverse perspectives solve big challenges and deliver a broad range of solutions to help nourish our growing world.

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