Senior Data Scientist, Last Mile Analytics & Optimization

Amazon Inc.

Seattle, Northern (WA, KY)

Hybrid

USD 159,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Inc. in the Seattle area seeks a Senior Data Scientist for Last Mile Science and Analytics to own data-driven improvements to the delivery network. You will tackle complex logistics challenges with advanced modeling and scalable processes.

You will collaborate with cross-functional teams, mentor others, and communicate impactful insights that shape customer experience and operational excellence. A Master’s degree or equivalent experience is expected, with strong SQL/Python and

Qualifications

  • 5+ years in data science or similar role with data extraction, analysis, and communication experience.
  • 5+ years of data querying languages (e.g. SQL) and scripting (e.g. Python) or statistical software (e.g. R/SAS/Matlab).
  • Master's degree in a quantitative field or Bachelor's with 8+ years of experience.
  • Experience with statistical models such as multinomial logistic regression.

Responsibilities

  • Own business-critical data science challenges and drive data-driven decisions in delivery operations.
  • Develop scalable data processes and solutions for the logistics network.
  • Communicate insights and collaborate with cross-functional teams to improve customer experience and operational excellence.

Skills

SQL
Python
R/SAS/Matlab
Multinomial logistic regression

Education

Master's degree in quantitative field
Bachelor's degree + 8+ years experience

Tools

AWS QuickSight
Tableau
R Shiny

Job description

Amazon Inc. in the Seattle area seeks a Senior Data Scientist for Last Mile Science and Analytics to own data-driven improvements to the delivery network. You will tackle complex logistics challenges with advanced modeling and scalable processes.

You will collaborate with cross-functional teams, mentor others, and communicate impactful insights that shape customer experience and operational excellence. A Master’s degree or equivalent experience is expected, with strong SQL/Python and

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