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Data Scientist- Operations Research

Monsanto is passionate about using Analytical Data Science and Information Technology to improve agriculture. Data Science is critical to Monsanto’s success today and in the future as we transform into an Information Services company. We are seeking a Sr. Operations Research Data Scientist to join our Global IT Analytics team. The Global IT Analytics team looks to find creative and innovative solutions to enable success within our R&D, supply chain and commercial organizations while identifying and capitalizing on new opportunities to maintain and grow our position as a digital agriculture 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 Monsanto and our team.

This is an exciting opportunity for a talented and passionate individual to join a multidisciplinary team of data scientists and engineers who work on real world problems. As a Sr. Operations Research Data Scientist you will develop strategies to identify new opportunities and expand existing methods, provide insights, and build practical solutions to complex business problems. You will apply advanced analytics skills to turn data into competitive advantage and make recommendations for data-driven business decisions.


Required skills/experience:


* M.S and/or Ph.D. in Operations Research, Engineering, Management Science, Mathematics, or a other related quantitative discipline

* Minimum 1-3 years relevant experience delivering analytics solutions to complex business problems for PhD applicants, 5+ years for MS applicants.

* Theoretical and practical experience in deterministic optimization and algorithm development related to operations management is a requirement, including experience with commercial optimization software (ex. CPLEX or Gurobi)

* Expertise in programming, statistical packages, and database languages (ex. Java, R, Python, Scala, SQL and OPL)

* Demonstrated experience in optimizing demand, supply, and network flow challenges related to planning, scheduling, space utilization, and customer service levels.

* Demonstrated problem solving experience analyzing complex data using statistical and advanced analytical methods to deliver predictive and prescriptive insights

* Exceptional organizational, interpersonal, and written communication skills

* Ability to work in a matrix environment and influence people at varying levels of responsibility

* Candidates must demonstrate business aptitude, the ability to rapidly learn new problem domains and become conversant in the domain with business users


Desired skills/ experience:

* Experience in supply chain management, agriculture, and/or laboratory science

* Hands on experience using IBM DOC framework

* PhD in Operations Research, Engineering, Management Science, Mathematics, or a other related quantitative discipline

* Experience with software development and architecture related to operations research, artificial intelligence, and machine learning.

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