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- Tasks: Drive customer growth at Amazon Japan using economic principles and data analysis.
- Company: Join Amazon, a global leader in e-commerce and technology innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Make a significant impact on Amazon's international marketplace while collaborating with diverse teams.
- Qualifications: Ph.D. in Economics or related fields with 4+ years of experience required.
- Other info: Be a pioneer economist in Asia, contributing to Amazon's expanding community.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Senior Economist to accelerate Amazon Japan's customer growth and engagement. In this exciting charter, you will use economic principles and econometrics to foster and drive innovations for some of Amazon's flagship programs, including Prime, Amazon Points, and Deal Events (e.g., Prime Day). Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Amazon, you will apply the frontier of econometric and economic methods to Amazon’s terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves.
In this role, you will work with a diverse team of product and science talents to identify business opportunities and build best-in-class econometric models to address them. You will work with engineering teams to productionize your models and improve the experiences of our customers and associates. You will own, execute, and expand a research roadmap that contributes to Amazon's long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon’s economist community in Asia.
The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced environment and earns trust from stakeholders in an ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.
- Work with Product, Finance, Data Science, and Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.
- Use economic insights to guide business to make the right strategic decisions.
- Innovate on how Amazon can leverage data analytics to improve customer growth and engagement.
- Contribute to building a strong data science community in Amazon Asia.
BASIC QUALIFICATIONS
- Ph.D. degree in Economics, Quantitative Marketing, Information Systems, or Operations Research.
- 4+ years in post-doctoral work experience.
PREFERRED QUALIFICATIONS
- Expert knowledge and proven track record in empirical industrial organization and/or reduced-form causal inference.
- Experience in data analytics in a B2C industry (e.g., consumer/retail/retail financial services/telecoms/media).
- Experience with big data tools such as Scala, PySpark, AWS products.
- Experience with machine learning models and their applications in the Tech industry.
- Publications in world renowned scientific journals.
- Excellent in using non-technical yet precise languages, verbally and in writing, to communicate complex analytical subjects with business stakeholders.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Only 24h Left: Senior Economist, Amazon Japan, Japan Stores Econ... employer: Jobbydoo
Contact Detail:
Jobbydoo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Only 24h Left: Senior Economist, Amazon Japan, Japan Stores Econ...
✨Tip Number 1
Familiarise yourself with Amazon's key programmes like Prime and Amazon Points. Understanding how these initiatives work will allow you to discuss innovative ideas during your interview, showcasing your strategic thinking and ability to drive customer engagement.
✨Tip Number 2
Brush up on your econometric modelling skills, particularly in causal inference. Be prepared to discuss specific examples of how you've applied these methods in previous roles, as this will demonstrate your expertise and relevance to the position.
✨Tip Number 3
Network with current or former economists at Amazon, especially those in Asia. They can provide insights into the company culture and expectations, which can help you tailor your approach and stand out during the selection process.
✨Tip Number 4
Prepare to discuss how you can contribute to building a strong data science community within Amazon Asia. Think about past experiences where you've fostered collaboration or innovation, as this aligns with the role's responsibilities.
We think you need these skills to ace Only 24h Left: Senior Economist, Amazon Japan, Japan Stores Econ...
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in economics, particularly in empirical industrial organization and causal inference. Emphasise any work with big data tools and machine learning models, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using economic principles to drive customer growth and engagement. Mention specific examples of how you've applied econometric methods in previous roles and how they relate to Amazon's goals.
Showcase Your Publications: If you have publications in renowned scientific journals, make sure to include them in your application. Highlighting your research will demonstrate your expertise and commitment to the field of economics.
Prepare for Technical Questions: Be ready to discuss your experience with data analytics and econometric modelling in detail. Prepare examples that showcase your strategic thinking and ability to communicate complex ideas clearly to non-technical stakeholders.
How to prepare for a job interview at Jobbydoo
✨Showcase Your Economic Expertise
Be prepared to discuss your experience with empirical industrial organisation and causal inference models. Highlight specific projects where you've applied these methods, especially in a B2C context, as this aligns closely with what Amazon is looking for.
✨Demonstrate Data-Driven Decision Making
Amazon values data-driven insights, so come equipped with examples of how you've used data analytics to influence strategic decisions. Discuss any experience you have with big data tools like Scala or PySpark, as well as machine learning applications.
✨Communicate Complex Ideas Simply
You’ll need to explain complex analytical concepts to non-technical stakeholders. Practice articulating your ideas in clear, concise language. This will show that you can bridge the gap between technical analysis and business strategy effectively.
✨Embrace Ambiguity and Fast-Paced Environments
As a self-starter, it's crucial to demonstrate your ability to thrive in ambiguous situations. Share examples from your past where you've successfully navigated uncertainty and delivered results, showcasing your adaptability and strategic thinking.
