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- Tasks: Design and implement innovative solutions using econometrics and machine learning.
- Company: Join Switchback, a forward-thinking team at Amazon.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Make a real impact on product optimization in the largest online retail platform.
- Qualifications: PhD in Economics or related field with 2+ years of relevant experience.
- Other info: Collaborate with experts and work on cutting-edge projects in a dynamic setting.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about innovation? Are you Customer Obsessed? We are looking for a passionate, talented, and inventive Economist with expertise in applied econometrics and causal machine learning to help Switchback design and implement solutions to answer challenging questions such as optimizing Amazon\’s portfolio of retail products.
PhD in Economics or in closely related field is required, 2+ years of industry, consulting, government, or academic research experience.
- Advanced knowledge of machine-learning techniques applied to causal inference
- Experience with handling of large datasets
Switchback\’s mission is to empower Amazon teams to make rapid, data-driven decisions on product content optimization. We are building an innovative approach to product content experimentation at Amazon scale, and also through partnerships with Amazon technical teams around the world including Central organizations.
You will work with other Scientists and Software Engineers to build causal models supporting business decision making. You will collaborate with recognized experts in business, science and engineering. You will work closely with our business partners to define requirements, propose and review modeling approaches, prototype code and deep dive on analyses to help inform decision making. You will have the opportunity to work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, to build scalable models at the forefront of causal ML/AI and dynamic causal methods, and apply these to large scale datasets.
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.
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Economist, Switchback employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist, Switchback
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Switchback or Amazon. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your econometrics and machine learning projects. This is your chance to shine and demonstrate how you can tackle real-world problems.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining your thought process clearly, especially when discussing complex models and data handling.
✨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 being part of the Switchback team. Don’t miss out!
We think you need these skills to ace Economist, Switchback
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for innovation and customer obsession shine through in your application. We want to see how your passion aligns with our mission at Switchback!
Highlight Relevant Experience: Make sure to showcase your expertise in applied econometrics and causal machine learning. We’re looking for candidates with 2+ years of relevant experience, so don’t hold back on those details!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your skills and experiences, making it easy for us to see why you’d be a great fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Amazon.com, Inc
✨Know Your Econometrics
Brush up on your applied econometrics and causal machine learning knowledge. Be ready to discuss specific techniques you've used in past projects, especially those that relate to optimising product portfolios or handling large datasets.
✨Show Your Customer Obsession
Prepare examples that demonstrate your customer-centric approach. Think about how your analyses have directly impacted customer experience or product offerings, and be ready to share these stories during the interview.
✨Collaborate Like a Pro
Since you'll be working with scientists and software engineers, highlight your teamwork skills. Discuss any collaborative projects you've been part of, focusing on how you defined requirements and contributed to modelling approaches.
✨Dive Deep into Data
Be prepared to talk about your experience with large datasets. Have a few examples ready where you successfully built scalable models or conducted deep analyses, and explain how these experiences can benefit Switchback's mission.
