Data Scientist Intern – #01RTG
Sustainable agriculture is at the core of Monsanto. We are committed to developing the technologies that enable farmers to produce more crops while conserving more of the natural resources that are essential to their success. Monsanto is passionate about using Data Science and Information Technology to improve agriculture, and thus in over 60 countries, Monsanto has established industry-leading products.Monsanto is seeking an exceptional talented Data Scientist to join the Asia and Africa Breeding Team, located at our research headquarters in Chesterfield, Missouri. As part of our diverse and highly dynamic group, you will work side-by-side with teams of exceptional data analytics, data scientists, data manager, pipeline managers and breeders with diverse backgrounds to foster your career growth and development. The successful candidate will utilize his/her technical skills and knowledge to develop solutions and accelerate breeding product testing and deployment. In addition to their strong technical skills, the successful candidate must have excellent communication and interpersonal skills, a proven track record of solving challenging and complex problems, as well as a strong commitment to achieving results. The dates for this summer internship are May 3 ??? August 2 of 2019.The Data Science intern will:Build and validate predictive models incorporating key breeding data, soil, weather, and environmental dataDemonstrate the application of the models and deploy them to stakeholders Qualifications:Required Skills:Currently pursuing an advanced degree (MS or PhD) in Computer Science, Statistics, Data Science, Mathematics, Computational Biology or related disciplineProficiency in Machine learning and Statistics algorithms and concepts (Mixed Models, Random Forest, Deep Learning, SVM, etc.) Strong programming skills in R, Python, SQL, LinuxExperience with cloud computing, such as Hadoop, SparkProblem-solving ability and experience analyzing and presenting complex data Organizational, interpersonal, and written and communication skillsDesired Skills:Willingness to extend own data science and statistical interests to agriculture and/or experience working with agricultural/biological scientific dataAbility to solve challenging and complex analytical problemsApply for this job.