Senior Applied Scientist, Trend Analytics, Trend Analytics

Seattle, Washington, USA

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Job summary
Amazon's Customer Experience and Business Trends (CXBT) is seeking a top-tier Applied Scientist to push forward a science team that will develop a category-creating product sitting at the intersection of business intelligence and investment analysis.

This is a well-funded, greenfield initiative and the chance for you to lead as a Day 1 member on a team whose north star is to bring Amazon's grasp of customers and business trends to the next level. The startup environment you will enter comes with more autonomy, more opportunities to influence product direction, and less external dependencies than most teams at Amazon. The product's range spans every business at Amazon, and is attentive to all customer segments including consumers, developers, advertisers, sellers, and creators. The upside for your career includes pushing the boundaries of state-of-the-art research brought into production, as well as a rare degree of leadership visibility. We will share more on the product's vision once we establish mutual interest.

The role requires above all 1) the expertise to apply the latest data science methods to detect, characterize and score wide-ranging trends at scale, 2) a track record of shipping scientific models that deeply integrate into the tech stack of products consumed by a large user base, and 3) the ability to inspire and develop the best scientists. As a candidate, you have a passion for building cutting-edge solutions that 1) leverage natural language processing and other ML methods over high-cardinality, heterogenous datasets and 2) interface intuitively with business users to capture their feedback and enable faster and better decisions. As a senior member on a forming team, you lead by example, contributing code and diving deep into the scientific literature, as well as experimental and productionization reviews

Expect stimulating, passionate, and caring co-workers. We offer competitive pay, stock grants, and great benefits including medical, dental, vision, 401k with matching, and more. Domestic and international relocation is available for qualified candidates. Join us!

Keywords: Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Information Retrieval (IR), Knowledge Graph (KG), Entity Resolution (ER), Predictive Scoring, Text Summarization, Investment, Finance,

About the team

CXBT is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings — for almost every business at Amazon — for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need and working backwards from there.

Basic Qualifications

  • PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Experience programming in Java, C++, Python or related language

Preferred Qualifications

  • PhD in Computer Science, Applied Mathematics, or related field
  • Experience in private equity, venture capital, or other investment-related fields
  • Experience with data mining including machine learning, natural language processing, and statistics
  • Experience with computerized knowledge representations including knowledge graphs
  • Excellence in technical communication with both technical and non-technical audiences

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Job region: North America
Job country: United States
Job stats:  1  0  0

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