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Amazon
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May 4, 2025
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Seattle, WA
Internship
Onsite
$136K/yr - $213K/yr
Intern
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. They are seeking a Research Science intern focused on Operations Research and Optimization to develop algorithms and apply machine learning techniques for real-world decision-making. The role involves collaborating with teams, analyzing data, and driving operational efficiencies.
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Responsibilities

  • Develop and apply optimization, causal inference, and time series modeling techniques to drive operational efficiencies and improve decision-making across Amazon's fulfillment, logistics, and supply chain operations
  • Design and implement scalable algorithms and data structures to support complex optimization systems
  • Leverage statistical methods and machine learning to uncover insights and patterns in large-scale operations data
  • Prototype and validate new approaches through rigorous experimentation and analysis
  • Collaborate closely with cross-functional teams of researchers, engineers, and business stakeholders to translate research outputs into tangible business impact

Qualification

Required

  • Are enrolled in a PhD in operations research, applied mathematics, theoretical computer science, or equivalent
  • Are 18 years of age or older
  • Work 40 hours/week minimum and commit to 12 week internship maximum
  • Can relocate to where the internship is based

Preferred

  • Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
  • Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design

Benefits

  • Equity
  • Sign-on payments
  • Full range of medical, financial, and/or other benefits
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Glassdoor
3.7
Founded in 1994
Seattle, Washington, USA
10001+ employees
https://amazon.com
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