Global Operations Research Analyst - #00MP7(Monsanto)- Employment, career opportunity in USA

Job Title:   Global Operations Research Analyst - #00MP7
Location: - (St. Louis, Missouri, Mid-West United States, USA)
Company: Monsanto
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: Competitive



Produce more. Conserve more. Improve lives. That ??s Monsanto ??s vision for a better world. Achieving this vision demands revolutionizing agriculture through technology and analytics is central to attaining this transformation.
We are seeking exceptionally talented individual with a passion for innovation to become an integral part of our Global Analytics Team within Global Corn Breeding Organization. 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 Breeders) to foster your career growth and development while delivering next-generation analytical solutions.

In this role, 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:

Ph.D. or PhD completion in 6 months or Masters with equivalent experience in Operations Research, Industrial Engineering, Mathematics or a related field



Required Skills:
         Creative, proactive, bold and out-of-box thinking

Theoretical and practical knowledge of operations research and mathematical optimization concepts is a must

Expertise in many of the following: Mathematical modeling, simulation, decisions analysis, stochastic models, system dynamics and forecasting

         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)
         Experience with discrete event simulation software (Arena, Simul8 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.
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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 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 solutions


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