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 an exceptionally talented individual with a passion for innovation, communication and influencing people to become an integral part of our Global Breeding Analytics team. The Global Breeding Analytics team is a cutting edge group providing recommendations and solutions to accelerate and optimize Monsanto’s product development pipeline. 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 exciting analytics and operations research products 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 analytics solutions.
In this role, you are required to lead the expansion and support of analytics products that 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 work with fellow data scientists and business stakeholders to deploy and support digital products and applications that use IT and data science to enable automated optimal decision making. You will interface with teams across the company towards expansion of existing models and application to new crops and world regions. 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. You will 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 level.
-Master's degree in Operations Research, Industrial Engineering, Mathematics, Computer Science or a related field
-Experience with programming languages (Python, JAVA, C#, R)
-Excellent Communication and Project Management Skills
-Fluency in both written and oral English
-Ability to deal with ambiguity
-Passion for data science and understanding the fundamentals of operations research, simulation, statistics and machine learning.
-Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts
-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.
-2 or more years of prior work experience in Analytics
-Theoretical and practical knowledge of operations research and mathematical optimization concepts
-Experience with commercial optimization software (i.e., CPLEX, Xpress, Gurobi etc)
-Experience with cloud based delivery models and technology platforms (AWS, RESTful, Hadoop etc)
-Drive for translating business problems into research initiatives that deliver business value
-Expertise in many of the following: Mathematical modeling, simulation, decision analysis, stochastic models, system dynamics and forecasting