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Economist, Offers Experience

Job ID: 1752461 | Amazon.com Services LLC

DESCRIPTION

Job summary
We're looking for an experienced Economist to help drive a NEW high impact high visibility initiative on the Amazon website. This is an opportunity to work with a team that drives one of the most coveted real estate in the E-commerce, the Amazon ‘Buy Box’ on Amazon Product Detail Page, Amazon Search Page, multiple buying widgets etc. on the Amazon desktop, mobile and tablet environments.

The Offers Experience team's vision is to simplify Amazon shopping experience by helping customers more easily discover and evaluate product offers to find the right option for their shopping journey. We use ML and contextual information to rank and feature the most relevant offers to customers. Our services serve hundreds of millions of Amazon customers and handle millions of requests per second for hundreds of millions of products and billions of offers.

You will be responsible for improving the existing models and creating new ones to improve the accuracy of the featured offers. The goal is to recommend product offers that customer love and trust. You will develop a deep understanding of business problems and apply econometrics to disambiguate and solve complex problems. You will work with business partners, engineers, TPMs, and other scientists across organizations to expand the model to incorporate new features. You will work independently and collaboratively, lead and influence discussions to drive consensus on the design and development of new models. To be successful you'll need to be forward looking, constantly find ways to deliver a better experience for the customer. You will be force multiplier decomposing complex problems into smaller ones that can be worked on by junior economists. You will train junior economists and deliver results through them. You will keep abreast of current research, techniques, methods, tools, and industry trends in economics.

If you are ready to truly make an impact on a product that is used by hundreds of millions of people around the world, including your own friends and family, then we would love to talk to you.

Worklife Balance
Our team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

BASIC QUALIFICATIONS

· PhD in Economics or closely related field

PREFERRED QUALIFICATIONS

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




Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.