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.
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.