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- Tasks: Lead economic modelling and analysis to drive strategic decisions for Amazon's European business.
- Company: Join Amazon, a tech giant focused on customer-centric innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Shape the future of e-commerce with cutting-edge economic insights and data-driven strategies.
- Qualifications: PhD in Economics, expertise in econometrics, and strong analytical skills.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Principal Economist, Economic Decision Science role at Amazon. Amazon strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated, and friendly work environment.
Economic Decision Science (EDS) is Amazon’s decision intelligence team for EU Stores. We are a team of economists, engineers, and PMs who apply economic modeling, experimentation, and AI/ML to Amazon’s hardest questions. These include:
- Where will Amazon's growth come from in the next year?
- What about over the next five?
- Which product lines are poised to quintuple in size?
- Are we investing enough in our infrastructure, or too much?
- How do our customers react to changes in prices, product selection, or delivery times?
EDS is hiring a Principal Economist to answer these questions for our European business. The role will work collaboratively with European leaders, Finance teams, and the global Supply Chain Optimization Technology (SCOT) team. You will have an opportunity to own the long‑run outlook for Amazon’s European consumer business and shape strategic decisions at the highest level.
The role will require experience in technical methods at the frontier of economics to develop formal models to understand the past and the present, predict the future, and identify relevant risks and opportunities. For example, we analyze the internal and external drivers of growth and profitability and how these drivers interact with the customer experience in the short, medium and long-term. We build econometric models of dynamic systems, using our world‑class data tools, formalizing problems using rigorous science to solve business issues, and further delight customers.
The role is a good fit for candidates with research experience in:
- Macroeconometrics and/or empirical macroeconomics
- International macroeconomics
- Time‑series econometrics
- Forecasting
- Financial econometrics and/or empirical finance
- The use of micro and panel data to improve and validate traditional aggregate models
Basic Qualifications:
- PhD in Economics or closely related field
- Expertise in applied time series
Preferred Qualifications:
- Track record of publications that have advanced the state‑of‑the‑art
- Experience in industry, consulting, government or academic research
- Fluency in at least one statistical software package such as R, Stata, Matlab, SAS
- Strong background in econometrics, statistics methodology, machine learning, applications to business problems, and/or big data
- Experience with programming languages such as Python, Java, C++, experience with SQL and/or working in a Unix/Linux environment is a plus
- Ability to work in a fast‑paced business environment
- Effective verbal and written communications skills
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 to know more about how we collect, use and transfer the personal data of our candidates. 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 our website for more information.
Principal Economist, Economic Decision Science in City of London employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Economist, Economic Decision Science in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former Amazon employees on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral. Don’t be shy; people love sharing their experiences!
✨Tip Number 2
Prepare for the interview by diving deep into Amazon's business model and recent news. We want to show that we’re not just another candidate but someone who’s genuinely interested in how Amazon operates and grows.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us nail those tricky questions. Focus on articulating our thought process clearly, especially when discussing complex economic models.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight our skills that align with the Principal Economist role. Let’s make it count!
We think you need these skills to ace Principal Economist, Economic Decision Science in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Economist role. Highlight your experience in applied time series and econometrics, and don’t forget to mention any relevant publications. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about economic decision science and how your background makes you a perfect fit for our team. Let’s see your personality come through!
Showcase Your Technical Skills: We’re keen on candidates who are proficient in statistical software and programming languages. Make sure to list your experience with tools like R, Python, or SQL clearly. This will help us understand your technical prowess right off the bat!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it’s super easy and straightforward. We can’t wait to see your application!
How to prepare for a job interview at Amazon
✨Know Your Economics Inside Out
Make sure you brush up on your macroeconomics and econometrics. Be ready to discuss your research experience and how it relates to Amazon's decision-making processes. They’ll want to see that you can apply your knowledge to real-world scenarios, so think of examples where you've used economic modelling to solve complex problems.
✨Familiarise Yourself with Amazon's Culture
Amazon prides itself on being customer-centric and innovative. Research their leadership principles and think about how your values align with theirs. Prepare to share how you’ve demonstrated similar principles in your past work, especially in fast-paced environments.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in statistical software and programming languages. They’ll likely ask about your experience with R, Python, or SQL, so have specific projects in mind where you’ve applied these skills. If you’ve worked with big data or machine learning, make sure to highlight that too!
✨Prepare for Scenario-Based Questions
Expect questions that require you to think critically about Amazon's business challenges. Practice articulating your thought process when faced with hypothetical situations, such as predicting market trends or analysing customer behaviour. This will demonstrate your analytical skills and ability to contribute to strategic decisions.
