Lead Data Scientist, Last-Mile Analytics & Optimization

Amazon

Bellevue (WA)

On-site

USD 159,000 - 215,000

Full time

2 days ago
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Benefits offered by this job

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

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a Research Scientist to tackle complex logistics challenges and improve the delivery network through data-driven solutions. You will own business-critical problems and drive strategic decisions that shape operational excellence and customer experience.

Ideal candidates bring 5+ years in data science, strong SQL/Python, and experience with multinomial logistic regression, plus leadership and program management capabilities in a fast-paced

Qualifications

  • 5+ years in data scientist or similar role with data extraction, analysis, statistics, and communication.
  • 5+ years of data querying languages or statistical software experience (SQL, Python, R, SAS, Matlab).
  • Master's degree in statistics, mathematics, data science, business analytics, economics, finance, engineering, or CS, or Bachelor's plus 8+ years experience.
  • Experience with statistical models e.g. multinomial logistic regression.

Responsibilities

  • Own business-critical challenges and drive data-driven decisions that shape the future of our delivery operations.
  • Influence customer experience and operational excellence through data science and program management.

Skills

SQL
Python
R

Education

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

Tools

AWS QuickSight
Tableau
R Shiny

Job description

Amazon.com Services LLC in Bellevue, WA is seeking a Research Scientist to tackle complex logistics challenges and improve the delivery network through data-driven solutions. You will own business-critical problems and drive strategic decisions that shape operational excellence and customer experience.

Ideal candidates bring 5+ years in data science, strong SQL/Python, and experience with multinomial logistic regression, plus leadership and program management capabilities in a fast-paced

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