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Home›Jobs›Amazon›Economist, Switchback
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Economist, Switchback

Amazon • Luxembourg, LUX

Posted 8 months ago🏛️ On-SiteMid-LevelEconomist📍 Luxembourg
Apply Now →

Job Description

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 the Switchback design and implement solutions to answer challenging questions such as optimizing Amazon’s portfolio of retail products

Switchback's mission is to empower Amazon teams to make rapid, data-driven decisions on product content optimization. We are building innovative approach to product content experimentation at Amazon scale, also through partnerships with Amazon technical teams around the world including Central organizations.

You will 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 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.



- 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

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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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