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Senior Economist, Amazon Physical Stores

Job ID: 1809443 | Amazon.com Services LLC

DESCRIPTION

Job summary
Are you excited to be part of Amazon’s physical stores’ journey to provide a seamless customer experience between the digital world and the physical one? Are you excited about powering Amazon’s physical stores’ expansion through economic models? Do you thrive in a fast-moving, innovative environment that values data-driven decision making and sound scientific practices? Come join the team that powers the location strategy for Amazon Fresh Store, Go, Wholefoods, Bookstores, 4-Star and other physical store initiatives at Amazon. We are looking for PhD Economists that will help Amazon physical stores grow and succeed.

Amazon Physical Stores is looking for a Senior Economist to help drive the long-term strategy of Amazon physical stores across all formats. We are tackling cutting-edge, complex problems for Amazon stores by bringing together numerous data assets from disparate sources inside and outside of Amazon.

As a senior economist, you will work with other scientists, product managers, software engineers, and business intelligence engineers to help deliver forecasting and decision support models leveraging econometric, statistical and ML techniques in addition to geospatial analytics for improving the speed and quality of real estate decisions across Amazon physical stores. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis, and working with Software Development team to integrate the models into production systems. You will be an expert in drawing customer insights through structural modelling techniques and have experience manipulating large data sets.


Key job responsibilities
· Lead and develop a science team: Continuously enhance our team’s science skills through learning, experiments, and execution and drive innovations. Review and audit modeling processes and results for other scientists, both junior and senior.
· Inject economic thinking to model development: Identifies opportunities to apply economic theories and define the problem and roadmap to solve it.
· Influences the strategic direction (business and technology). Influences clients and partner across Physical Store Real Estate Org.
· You will work closely with leaders across science, engineering, and business teams. You guide the scientists’ work on programs and participate as an Individual Contributor on strategic programs to apply economic thinking and analysis, and connect with Amazon’s economist community.
· Drive innovation based on global science and industry trends. Recognize emerging science trends and how to apply them to acquire insight and help improve Amazon’s offerings.


A day in the life
A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. You will be comfortable handling complex and ambiguous problems. You will be able to break down complex information and insights into clear and concise language and be comfortable presenting your findings to audiences with a broad range of backgrounds – both technical and non-technical.

About the team
Our team is responsible for building the core intelligence, insights, and algorithms that support the real estate acquisition strategies for Amazon physical stores. We help answer business questions around cannibalization, halo impact and format choice models while tackling topics around customer journey and environmental sustainability as it relates to physical stores location decisions.

BASIC QUALIFICATIONS

· PhD in Economics or closely related field
· 5+ years of post-PhD employment in academia, government, consulting, or industry.

PREFERRED QUALIFICATIONS

· Proven track record of applying econometric, ML and statistical techniques to real business problems.
· Track records in research and applying theories to deliver products/services.
· Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods.
· Strong programming skills (e.g., Python) in industrial setting.
· Experience in working with and growing teams of economists and machine learning scientists.
· Excellent written and verbal communication skills.
· Ability to work in a fast-paced business environment.



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.