Senior Data Scientist, Global Fulfillment Optimization

Amazon

Bellevue (WA)

On-site

USD 159,000 - 215,000

Full time

18 hours ago
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Benefits offered by this job

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

Job summary

Amazon.com Services LLC - A57 in Bellevue, WA is seeking a Data Scientist to develop mathematical and statistical models for optimizing inbound fulfillment across networks and regions. You will partner with the global scientific community and work with technical teams to build optimization tools for network flow planning.

You will influence business strategy with data-driven insights, lead multiple high-impact projects, and communicate complex results to diverse stakeholders.

Qualifications

  • Bachelor's degree required in a quantitative field.
  • Experience with statistical models and data scripting languages (SQL, Python, R).
  • Experience as a Data Scientist or similar role.

Responsibilities

  • Design and develop mathematical models to optimize inventory placement and product flows.
  • Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
  • Manage several high impact projects simultaneously.
  • Collaborate with business and technical stakeholders to define opportunities to optimize Supply Chain.
  • Communicate data-driven insights to senior stakeholders through technical or business papers.
  • Leverage LLMs to improve explainability of optimization solutions.

Skills

Statistical models
Data science
SQL
Python/R scripting
Communication

Education

Bachelor's degree
Master's degree in quantitative field

Tools

Tableau
Quicksight
Data pipelines

Job description

Amazon.com Services LLC - A57 in Bellevue, WA is seeking a Data Scientist to develop mathematical and statistical models for optimizing inbound fulfillment across networks and regions. You will partner with the global scientific community and work with technical teams to build optimization tools for network flow planning.

You will influence business strategy with data-driven insights, lead multiple high-impact projects, and communicate complex results to diverse stakeholders.

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