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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, flexible work options, 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 applied time series, and strong econometrics background.
- Other info: Collaborative environment with a focus on impactful decision-making and career advancement.
The predicted salary is between 54000 - 84000 £ per year.
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.
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.
Principal Economist, Economic Decision Science in City of London employer: Amazon EU SARL (UK Branch)
Contact Detail:
Amazon EU SARL (UK Branch) 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. Ask them about their experiences and any tips they might have for landing a role in Economic Decision Science. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your econometrics and statistical methods. Be ready to discuss how you would apply these skills to real-world problems at Amazon. We want to see your thought process and how you tackle complex questions!
✨Tip Number 3
Showcase your research experience! Bring examples of your work that demonstrate your expertise in macroeconomics and time-series analysis. We love seeing how you've applied your knowledge to solve practical issues.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Amazon!
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 any relevant research you've done. We want to see how your skills align with the job description, so don’t hold back!
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 the perfect fit for Amazon. Keep it engaging and relevant to the role.
Showcase Your Technical Skills: Don’t forget to mention your expertise in statistical software and programming languages. We love seeing candidates who can bring technical skills to the table, especially in econometrics and machine learning. Make it clear how you’ve used these tools in past projects.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Amazon EU SARL (UK Branch)
✨Know Your Economics Inside Out
Make sure you brush up on your economic theories and models, especially those related to macroeconometrics and time-series analysis. Be prepared to discuss how you've applied these concepts in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Technical Skills
Since the role requires expertise in statistical software and programming languages, be ready to demonstrate your proficiency in tools like R, Stata, or Python. You might even want to prepare a quick example of a project where you used these skills to solve a business problem.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Think about how you would approach Amazon's growth challenges or customer behaviour changes, and be ready to articulate your thought process clearly and logically.
✨Communicate Effectively
Strong communication skills are key, so practice explaining complex economic concepts in simple terms. This will not only help you during the interview but also demonstrate your ability to collaborate with non-economists in a fast-paced environment.
