Economist, Prime Science, Prime Science

About the Role

Amazon Prime is seeking an ambitious Economist to create econometric insights for the worldwide Prime program. This role is central to major company decisions impacting Amazon customers across various industries. Prime Science generates insights that drive these decisions.

Key Responsibilities

• Create statistical tools that embed causal interpretations.
• Utilize massive data, state-of-the-art scientific computing, econometrics (causal, counterfactual/structural, experimentation), and machine-learning.
• Some science created may be publishable in internal or external scientific journals and conferences.
• Work closely with a team of economists, applied scientists, data professionals, product managers, and software/data engineers.
• Create insights from descriptive statistics, as well as novel statistical and econometric models.
• Create internal-to-Amazon-facing automated scientific data products to power company decisions.
• Write strategic documents explaining how senior company leaders should utilize these insights to create sustainable value for customers.

Requirements & Tech Stack

• Demonstrated capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, machine-learning) using software such as R, Python, or STATA.
• Willingness to learn and apply a broad set of statistical and computational techniques.
• Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus.
• Track record of delivering projects well and on-time, preferably in collaboration with other team members.
• Very strong writing and emotional intelligence skills.
• Growth mindset.
• Capacity for dealing with a high level of ambiguity.

Qualifications

• PhD in economics or equivalent.
• Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software.
• Experience with SQL.