Data Scientist – Prescriptive Analytics – #01O7B

Job Listing No: 9740000

Data Scientist – Prescriptive Analytics – #01O7B

We are seeking exceptionally talented individual with a passion for innovation to become an integral part of our Global Breeding Analytics Team. The global analytics team is a cutting edge group providing recommendations and solutions to accelerate and optimize Monsanto???s product development. We foster new game-changing ideas to produce sophisticated, intelligent optimization solutions and predictive models.  As part of our diverse, highly dynamic group, you will be exposed to highly exciting operations research challenges and will have ample opportunity to work with interdisciplinary scientists (Mathematicians, Predictive Modelers, Machine Learning Experts, Engineers, Operations Managers, and Plant Breeders) to foster your career growth and development while delivering next-generation analytical solutions. In this role in, you are required to use advanced mathematical models, operations research techniques, simulation and strong business acumen to deliver insight, recommendations and solutions for business problems. You are required to formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation or other managerial functions.  You???ll play a crucial role in leading world class logistics and distribution capacity planning and diagnostics, network design, flow path modeling and operations research on regional and global levels. You???ll help drive decisions that optimize total cost, lead time and inventory on strategic and tactical, and more opportunistic levels. You will present compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business. Qualifications:Required Skills:PhD or PhD completion in 6 months or Masters with equivalent experience in Operations Research, Industrial Engineering, Mathematics or a related field Creative, proactive, bold and out-of-box thinking Theoretical and practical knowledge of operations research and mathematical optimization concepts is a must Working knowledge of Machine learning and Statistics (Mixed Models, Random Forest, Deep Learning, SVM, forecasting etc.) Experience and passion for solving analytical problems involving big data sets using quantitative approaches to generate insights from data 3+ years experience with commercial optimization software (i.e., CPLEX, Xpress, Gurobi etc) Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts Strong publication record in leading scientific journals Strong organizational, interpersonal, and proven problem solving abilities Ability to work in a matrix environment, leading & influencing people at varying levels of responsibility.  Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner. Desired skills: Experience with object oriented programming (Java/C/C++) is highly desired Experience with discrete event simulation software (Arena, Simul8 etc) Experience with machine learning algorithms and statistical techniques is highly desired Expertise in probability theory, queuing theory, game theory is desirable A good understanding analysis of algorithms and computational complexity is desirable. Drive for translating business problems into research initiatives that deliver business value Creativity in defining challenging exploratory projects and developing solutionsBayer successfully completed the acquisition of Monsanto in June 2018, bringing together Monsanto???s leadership in seeds and plant traits with Bayer???s leadership in chemical and biological crop protection. By joining forces, we will create even more extensive career opportunities for talent around the world. We???re a global team working to shape agriculture through breakthrough innovation that will benefit farmers, consumers, and our planet. While we are now Bayer, we will continue to hire using separate career sites until we can integrate our career platforms. We invite you to explore the career opportunities available at the combined company by visiting advancingtogether.com/careers.

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