Economist II, Prime Video Hub Science

Amazon is hiring an Economist II, Prime Video Hub Science in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

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
- Leverage causal inference methods to estimate the impact of large-scale investments
- Develop advanced structural demand and econometric frameworks for products and services
- 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 Prime Video Hub Science team combines data science and economics to measure how Prime Video initiatives drive customer engagement and business value. We design experiments across Prime Video and Amazon surfaces, build causal models to evaluate marketing and product initiatives across channels, and translate findings into actionable metrics and recommendations.

Basic qualifications

- Experience communicating complex business concepts in verbal and written form
- Experience analyzing both experimental and observational data sets
- PhD in Economics or a related field
- Strong proficiency in at least one of the following statistical software packages: Python, R, Stata, or Matlab

Preferred qualifications

- Experience working with large, complex data sets
- 2+ years of industry, consulting, government, or academic research experience
- Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis, predictive modeling and causal ML algorithms, forecasting, hazard models, labor economics, health and insurance economics, education economics, behavioral economics, designing and administering large-scale social science surveys.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Economist II, Prime Video Hub Science at Amazon rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.