Data Scientist II: Rapid & Rural Logistics Innovator

Amazon Science

Bellevue (WA)

On-site

USD 136,000 - 184,000

Full time

18 hours ago
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Job summary

Amazon Science is seeking a Data Scientist to tackle complex business problems and drive data-driven decisions across supply chain and customer experience initiatives. You will collaborate with product managers, engineers, and leadership to design innovative ML models and scalable data processes.

The role emphasizes fast iteration, deep data exploration, and delivering impact through rigorous analysis and practical solutions that align with Amazon’s customer-centric priorities.

Qualifications

  • Master's degree in STEM or equivalent experience.
  • 2+ years of data scientist experience.
  • 5+ years of data querying languages (SQL), scripting (Python) or statistical software experience.
  • 3+ years of ML/statistical modeling and data analysis tools.
  • 1+ years of experience working with or evaluating AI systems.
  • Experience communicating complex concepts clearly in writing and speech.

Responsibilities

  • Identify and prioritize complex problems with product managers, engineers, other scientists, and leadership.
  • Interview stakeholders to translate business problems into data science or analytical projects.
  • Design, develop, and evaluate innovative statistics and ML models.
  • Establish scalable, automated processes for large-scale data analyses, model development, validation and deployment.
  • Identify business opportunities and provide data-driven solutions using Amazon data and industry best practices.

Skills

SQL
Python
R
SAS
MATLAB

Education

Master's degree in STEM
PhD (Preferred)

Tools

Jupyter
Spark
Hadoop

Job description

Amazon Science is seeking a Data Scientist to tackle complex business problems and drive data-driven decisions across supply chain and customer experience initiatives. You will collaborate with product managers, engineers, and leadership to design innovative ML models and scalable data processes.

The role emphasizes fast iteration, deep data exploration, and delivering impact through rigorous analysis and practical solutions that align with Amazon’s customer-centric priorities.

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