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Key job responsibilities
• Demonstrate proficiency in supervised algorithms (tree-based models, neural networks) and unsupervised algorithms (clustering).
• Rapidly design, prototype, and test multiple hypotheses in a high-ambiguity environment, utilizing quantitative analysis and business judgment.
• Report findings in a scientifically rigorous manner.
• Collaborate with software engineers, product managers, and domain experts to identify and address challenges requiring innovative solutions for our products.
• Acquire knowledge of Amazon's diverse data resources and determine when, how, and which resources to leverage or exclude.
• Integrate successful experiments into large-scale, highly complex production services by collaborating with software engineering teams.
• Maintain technical documentation and effectively communicate results to diverse audiences.
• Evaluate trade-offs by considering complexity, long-term benefits, and the reusability of existing solution
- - 7+ years of data scientist experience or similar role
- - 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- - Experience with statistical models e.g. multinomial logistic regression
- - Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- - Experience with statistical models e.g. multinomial logistic regression
- - Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
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