Monsanto Data Scientist - Geospatial Intern/Co−op in ST. LOUIS, Missouri
Monsanto is passionate about using science and technology to improve agriculture. Technology continues to evolve at an ever-rapid rate, and it is foremost to Monsanto’s success today and in the future to evolve as well. The Global IT Analytics team within Products and Engineering looks to find creative and innovative solutions to enable success within our research pipeline while identifying and capitalizing on new opportunities to maintain and grow our position as the market leader. The ability to examine and optimize our current methods coupled with an eye on the future lends itself to a unique opportunity within our organization.
We currently have an opportunity available for a Geospatial Data Scientist to join our Global IT Analytics team within the Products and Engineering organization in IT.
The successful candidate will use the latest mathematical and statistical innovations to propose analytic solutions that accommodate emerging trends in data quantity and quality. The Data Scientist will design and test algorithms and conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches for high-throughput big 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.
Pursuing a PhD in Mathematics, Statistics, Spatial Statistics, Geoinformatics, Environmental Modeling, Engineering, Computer Science, or Computational Biology
Proficiency in Spatial and/or Temporal Statistical Modeling
Experience with statistical modeling and data mining
Experience analyzing and presenting complex data and proven problem solving abilities
Experience with Statistical and Mathematical programming packages (R, Matlab, Python)
Strong publication record in leading scientific journals
Strong organizational, interpersonal, and written communication skills
Ability to work in a matrix environment, leading & influencing people at varying levels of responsibility
Experience building Spatio-Temporal models and predictive models is highly desired
Expertise in Spatial auto-correlation modeling, Bayesian Statistics, Spatial Econometrics, or Topological data analysis
Pattern Recognition (Conditional Random Fields, Hidden Markov Models, Maximum Entropy Markov Models, etc)
Proficiency in Machine learning algorithms and concepts (Ensembles, Deep Learning, SVM, etc.)
Experience in stochastic modeling and simulation
Experience working with agricultural/biological scientific data is highly desired
Drive for translating business problems into research initiatives that deliver business value
Creativity in defining challenging exploratory projects
Ability to code in Java, C, Hadoop, MapReduce, PySpark, Spark, C+ Organization: GLB IT P&E Analytics51177654_
Title: Data Scientist - Geospatial Intern/Co−op
Location: North America-USA-Missouri-St. Louis
Requisition ID: 01KK1
Job: Information Technology
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