Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or PhD and 5+ years of industry or academic research experience - Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization) - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production - Experience effectively communicating complex concepts through written and verbal communication Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. They will design and implement large-scale optimization algorithms for complex supply chain and marketplace problems, and design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies.