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Home›Jobs›Amazon›Applied Scientist, Private Brands Discovery
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

Applied Scientist, Private Brands Discovery

Amazon • Vancouver, British Columbia, CAN

Posted 2d agoMid-LevelApplied scientist📍 Vancouver
Apply Now →

Skills & Technologies

Natural language processingDeep learningReinforcement learningBayesian optimizationStatistical inference

Overview

Amazon is seeking an Applied Scientist for the Private Brands Discovery team to design innovative machine learning solutions. You'll work with Natural Language Processing, Deep Learning, and Reinforcement Learning to enhance customer product discovery. This role requires expertise in algorithm design and a strong interdisciplinary approach.

Job Description

Who you are

You have a strong background in machine learning and data science, with experience in Natural Language Processing and Deep Learning — you've tackled complex problems and developed innovative solutions that drive business impact. Your expertise in Reinforcement Learning and Bayesian Optimization allows you to design algorithms that enhance customer experiences and product discovery. You are comfortable working in interdisciplinary teams, collaborating with scientists and engineers to integrate cutting-edge technology into practical applications. You possess a keen understanding of statistical inference and econometrics, enabling you to analyze data effectively and derive actionable insights. You are results-driven, with a bias for action that helps you navigate challenges and deliver measurable outcomes. You are committed to scientific excellence and continuously seek to improve your skills and knowledge in the field.

What you'll do

In this role, you will design and implement machine learning solutions that enhance customer awareness of Amazon's private brands — your work will directly impact how customers discover products they love. You will collaborate with a diverse team of scientists and engineers, leveraging your expertise to tackle some of the toughest science problems at Amazon. You will be responsible for developing algorithms that utilize methods from Natural Language Processing, Deep Learning, and Reinforcement Learning, ensuring they are efficient and scalable. You will also engage in causal and statistical inference to validate your models and optimize their performance. Your contributions will be crucial in shaping the future of product discovery at Amazon, as you work to create solutions that are not only innovative but also practical and impactful. You will have the opportunity to dive deep into large-scale problems, enabling measurable actions that influence the consumer economy. Your role will involve setting standards for scientific excellence and making decisions that affect algorithm design and integration.

What we offer

At Amazon, we provide a dynamic work environment where you can thrive and make a significant impact. You will have access to a full range of medical, financial, and other benefits as part of our total compensation package. We encourage you to apply even if your experience doesn't match every requirement — we value diverse perspectives and backgrounds. Join us in our mission to innovate and enhance the customer experience through advanced machine learning solutions.

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