Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use econometrics and machine learning to solve real-world business challenges.
- Company: Join Amazon's innovative Entertainment Economics team.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Why this job: Make a real impact on Prime Video Ads and drive business decisions.
- Qualifications: PhD in Economics and proficiency in statistical software like Python or R.
- Other info: Collaborate with top economists and data scientists in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
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 with ads. 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 ex post
- 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 documents and present your work to business leaders and the science community.
About the team
The Entertainment Economics team consists of PhD-trained structural and causal-inference Economists, data scientists, and data engineers. We are a high-impact team driving decision-making in areas including Prime Video Ads, Music, and marketing measurement.
Basic Qualifications
- 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
- Proven track record in research and solution of business problems leveraging techniques from economics or related disciplines.
- Strong writing skills
- Advanced coding ability in a scripting language such as STATA, R, and/or Python
- 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.
Economist,GMAC Economics in London employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist,GMAC Economics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Amazon or in similar roles. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Prepare for your interviews by brushing up on econometrics and machine learning concepts. We want you to showcase your skills confidently, so practice explaining complex ideas in simple terms.
✨Tip Number 3
Don’t just focus on the technical stuff; show your entrepreneurial spirit! Think of innovative solutions to real-world problems and be ready to discuss them during your interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Economist,GMAC Economics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your econometrics and statistical skills in your application. We want to see how you can leverage these to tackle real-world business problems, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. We’re looking for someone with an entrepreneurial spirit and a quantitative approach, so make sure your application reflects that vibe!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experience and how it relates to the job. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Amazon
✨Know Your Econometrics
Brush up on your econometric methods and be ready to discuss how you've applied them in real-world scenarios. Prepare examples that showcase your ability to leverage causal inference and predictive modelling, as these will likely be key topics during the interview.
✨Showcase Your Coding Skills
Since proficiency in statistical software like Python or R is crucial, make sure you can talk about your coding experience confidently. Bring along any relevant projects or analyses you've completed, and be prepared to explain your thought process and the impact of your work.
✨Prepare for Technical and Business Questions
Expect a mix of technical questions and business-related discussions. Practice explaining complex concepts in simple terms, as you'll need to communicate your findings effectively to both technical and non-technical stakeholders.
✨Demonstrate Your Collaborative Spirit
The role involves working with a diverse team, so highlight your collaborative experiences. Share examples of how you've worked with others to solve problems or drive projects forward, and express your enthusiasm for contributing to a high-impact team.
