Senior Applied Scientist, Amazon Stores Economics & Science (SEAS)

Key job responsibilities

• Lead large-scale science initiatives from research to production
• Translate complex business problems into mathematical frameworks
• Design and implement large-scale optimization algorithms for complex supply chain and marketplace problems
• Design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies

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.
• Experience with large scale distributed systems such as Hadoop, Spark etc.