Sr Economist

Job ID: 1544980 | Amazon Web Services, Inc.

DESCRIPTION

The AWS Outcome Driven Engineering (ODE) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to real world industry problems. We dive deep with industry leaders to solve problems and unblock industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses.

We are looking for a seasoned principal economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.

As part of the Outcome Driven Engineering Supply Chain, the Principal Economist will work closely with dedicated engineering, design, and product resources to solve challenging problems of forecasting, mechanism design, and causal inference in supply chain products. The Principal Economist in this role will also work closely with senior leadership of AWS customer firms in a partnership model to develop net-new services to be offered by AWS.
Responsibilities
· Work with partners and the AWS ODE team to identify customer problems and propose modeling solutions that drive value to customers and revenue to AWS.
· Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.
· Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.
Work/Life BalanceOur team puts a high value on work-life balance. Prior to Covid restrictions, our team was co-
located in the office, but we were also flexible when people occasionally needed to
work from home. We generally keep core in-office hours from 10am to 4pm. About half
of us come in earlier and the other half of us stay later. Once Covid restrictions are lifted, we expect to follow Amazon policy on working from home.

Building a High-Performing & Inclusive Team Culture
You will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.

Mentorship & Career Growth
You will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.

We will consider candidate placement in: Seattle, San Francisco Bay Area, Denver, Chicago, Atlanta, the Boston Metro area, and other East Coast locations in North America.

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 highly related field (Marketing, Finance, Statistics, Math)
· 7+ years of experience in industry, consulting, government, or academic research
· Experience in applied economic analysis and with big data and machine learning or data science
· Coding ability in a scripting language such as R, Python, Matlab, or STATA

PREFERRED QUALIFICATIONS

· Strong research track record, drives results
· Thinks strategically, but stays on top of tactical execution
· Effective verbal and written communications skills
· Exhibits business judgment
· Has relentlessly high standards
· Dives deep, thinks big and has convictions