Job Details
Are you excited about using econometrics and statistics to impact real-world business decisions? We are looking for an Economist to build innovative solutions based on econometrics, experimentation, and machine learning helping us to answer challenging and impactful business problems for Prime Video.
If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.
Key job responsibilities
- Design, set up, and analyze experiments to measure impact of strategic PV initiatives
- Leverage causal inference methods to estimate the impact of large-scale investments ex post
- Collaborate with other scientists at Amazon to deliver measurable progress and change
- Influence business leaders based on empirical findings
A day in the life
You will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community.
About the team
The PV Economics team consists of PhD-trained structural and causal-inference Economists. We are an high-impact team driving decision-making in areas including PV with ads and content portfolio optimization.
- Experience with programmatic scripting languages for data analysis (e.g. Python, R) and extraction (SQL)
- Proficiency in applying empirical techniques in reduced-form causal analysis
- Thorough understanding of design-based causal inference
- Post doctoral experience in academia, private sector, consulting or government
- Ability to identify and successfully pitch the value of new ideas to business leaders
If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.
Key job responsibilities
- Design, set up, and analyze experiments to measure impact of strategic PV initiatives
- Leverage causal inference methods to estimate the impact of large-scale investments ex post
- Collaborate with other scientists at Amazon to deliver measurable progress and change
- Influence business leaders based on empirical findings
A day in the life
You will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community.
About the team
The PV Economics team consists of PhD-trained structural and causal-inference Economists. We are an high-impact team driving decision-making in areas including PV with ads and content portfolio optimization.
BASIC QUALIFICATIONS
- PhD in Economics or other highly quantitative discipline- Experience with programmatic scripting languages for data analysis (e.g. Python, R) and extraction (SQL)
- Proficiency in applying empirical techniques in reduced-form causal analysis
- Thorough understanding of design-based causal inference
PREFERRED QUALIFICATIONS
- In-depth knowledge and experience of specific microeconometric empirical techniques (e.g. difference-in-difference models, matching and doubly robust methods)- Post doctoral experience in academia, private sector, consulting or government
- Ability to identify and successfully pitch the value of new ideas to business leaders
