Amazon.com Services LLC

Technology

AppliedScientistII,Customer360

$143–193k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Applied Scientist II, Customer360 at Amazon.com Services LLC. Skills: Data science, Data engineering, Machine learning, Business intelligence. Design and implement data pipelines. Develop and deploy machine learning models”

Industry & Context.

Technology
Problems you'll solve

Analytical skills; Problem-solving

What They're Looking For.

Must Have

3+ years of experience in data science or related field, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Nice to Have

PhD preferred, Experience with AWS cloud platform, Experience with GCP cloud platform, Experience with Azure cloud platform, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification

What You'll Do.

Design and implement data pipelines

Develop and deploy machine learning models

Build and maintain business intelligence dashboards

Perform complex data analysis

Collaborate with engineering teams

Optimize data infrastructure

Ensure data quality and integrity

Communicate findings to stakeholders

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Product teams; Business stakeholders

Communication Scope

Present findings; Communicate insights

Full Job Description

Are you a scientist passionate about advancing Information Retrieval, NLP, and Large Language Models? Are you interested in innovating on behalf of millions of customers, helping them discover what they need in the moments that matter? Do you want access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems? If so, you'll be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. We build large-scale machine-learning solutions that delight customers with personalized and up-to-date experiences that are relevant to their interests. We are a team uniquely placed within Amazon to shape how customers will think about their shopping journey in the future. Key job responsibilities As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval, and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products, and systems. Please visit https://www.amazon.science for more information. A day in the life You will solve real-world problems by analyzing large-scale customer data, generating insights and hypotheses, executing experiments, and developing statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the organization. You communicate findings clearly to influence technical and product decisions. You innovate on behalf of the custome

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