Sr. Economist

4 weeks ago
Job ID
Amazon Corporate LLC
Position Category

Job Description

How do you manage inventory when you don’t own it? How do you design and provide right incentives for millions of sellers that inbound and ship billions of customer orders? How do you optimize Amazon’s third-party supply chain using new ideas never implemented at this scale to benefit millions of customers worldwide? If these type of questions get your mind racing, we want to hear from you.

Supply Chain Optimization Technologies (SCOT) optimizes Amazon’s global supply chain end to end and build systems to deliver billions of products to our customers’ doorsteps faster every year while saving hundreds of millions of dollars using science, machine learning, and scalable distributed software on the Cloud. FBA is an Amazon service for our marketplace third party sellers, where our sellers leverage our world-class facilities and provide customers Prime delivery promise on all their goods. SCOT has launched a new team called Fulfillment by Amazon (FBA) Automation & Optimization to focus on optimizing our third-party supply chain and we are looking for an innovative, curious, and results-oriented Economist. Economist on our team will be responsible for designing and validating structural inventory management models that take into account seller, Amazon, and customer incentives to inform our global production system's decisions and setting seller policies and fees (marketplace/contract designs). You will then work with software developers and other scientists to implement these models to work in real time. If you are interested in solving highly ambiguous problems with large and immediate impact on one of Amazon’s fastest growing businesses, we would love to have you!

Key Responsibilities:
  • Develop new econometric models using scalable techniques
  • Extract data for analysis and model development from large, complex datasets
  • Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production
  • Apply economic theory to solve business problems in a fast moving environment
  • Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders
  • Drive innovation and best practices in applied research across the Amazon research science community
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

  • PhD in Economics
  • Five or more years of experience in industry, consulting, government or academic research
  • Expertise in applied time series, reduced form causal inference or structural modeling
  • Fluency in at least one statistical software package such as R, Stata, Matlab, SAS

Preferred Qualifications

  • Applicants with considerably more experience, including mid-career, are also strongly encouraged
  • Strong background in statistics methodology, machine learning, applications to business problems, and/or big data
  • Experience with programming languages such as Python, Java, C++, experience with SQL and / or working in a Unix / Linux environment is a plus
  • Ability to work in a fast-paced business environment
  • Strong research track record
  • Effective verbal and written communications skills
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