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Data Scientist, Rapid & Rural Logistics AI

Posted yesterday

amazonSeattle (WA)

SENIORITY

Mid

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About the role

Amazon’s Data Science and Analytics team seeks an experienced data scientist to inform the data science charter and deliver high-velocity analytics for multiple stakeholders. You will build ML models, apply causal inference techniques, and translate data into actionable business insights that delight customers. The role emphasizes fast learning from data, balancing unknowns with delivering tangible results for our customers at scale, including innovative initiatives in Amazon Fresh and other

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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