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- 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 tangible impact on Prime Video Ads and drive strategic decisions.
- Qualifications: PhD in Economics and strong coding skills in Python or R.
- Other info: Collaborate with top economists and data scientists in a dynamic environment.
The predicted salary is between 36000 - 60000 £ 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.
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
- 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
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.
Economist, GMAC Economics in City of Westminster employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist, GMAC Economics in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amazon, especially those in the Entertainment Economics team. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your econometrics and machine learning knowledge. We should be ready to discuss how our skills can solve real-world business problems, just like the ones mentioned in the job description.
✨Tip Number 3
Showcase our coding skills! If we’ve got experience with Python, R, or Stata, let’s be ready to demonstrate that in practical scenarios during interviews. They’ll want to see how we can apply these tools to their challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team!
We think you need these skills to ace Economist, GMAC Economics in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong writing skills and coding abilities in your application. We want to see how you can leverage econometrics and statistics to solve real-world problems, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take the time to tailor your application to the job description. Mention specific experiences that relate to causal inference methods or advanced econometric frameworks. This shows us you’re genuinely interested and have the right background for the role.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when it comes to complex topics like econometrics. Make it easy for us to understand your thought process and findings.
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 gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Amazon.com, Inc
✨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 to solve business problems.
✨Showcase Your Coding Skills
Since strong coding ability is crucial for this role, make sure you can demonstrate your proficiency in Python, R, or Stata. Consider preparing a small project or example of code that highlights your skills and problem-solving approach.
✨Prepare for Technical and Business Discussions
You’ll need to communicate complex ideas clearly, so practice explaining your research and findings in a way that’s accessible to non-experts. Think about how you can influence business leaders with empirical evidence from your work.
✨Collaborate and Connect
This role involves working with a diverse team, so be prepared to discuss your collaborative experiences. Highlight any past projects where you worked alongside data scientists or other economists to drive impactful results.
