Overview
Azienda riservata.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.
Economists at Azienda riservata partner closely with senior management, business stakeholders, scientists and engineers, and economist leadership to solve key business problems ranging from Azienda riservata Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond.
Azienda riservata Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Azienda riservata.
You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company.
Responsibilities
- Partner closely with senior management, business stakeholders, scientists, and engineers to solve key business problems across Azienda riservata services and platforms.
- Build and validate econometric models using large data sets and Azienda riservata's world‐class data systems.
- Apply approaches from applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics, and related fields.
- Develop techniques to apply econometrics to large datasets and contribute to the design of automated systems around the company.
Basic Qualifications
- PhD in economics or equivalent.
Preferre