Amazons North America Stores (NAS) connects millions of customers with sellers offering unparalleled product selection at competitive prices. Our Science team drives this mission through datadriven innovation and research.
Were seeking an experienced Data Scientist to: Develop comprehensive data dictionaries and optimize data infrastructure Assess financial and operational impacts of new products Research and implement stateoftheart ML optimization and AI solutions Collaborate with scientists to evaluate algorithms from a business perspective Lead independent research initiatives in network optimization and financial modeling
The ideal candidate will: Drive projects independently and partner with product/engineering teams Have strong statistical foundations Excel in Python and R programming Demonstrate ability to translate complex analyses into business value
This role offers the opportunity to shape the future of ecommerce through innovative data science solutions at scale.
Key job responsibilities As a Data Scientist youll leverage advanced analytics to solve complex business problems where solutions arent immediately clear. Combining business acumen statistical expertise and machine learning knowledge youll thrive in our collaborative learningfocused environment. Youll work with AWS tools including Redshift SageMaker Lambda S3 and EC2 while contributing expertise in areas such as optimization machine learning generativeAI forecasting and probabilistic/causal ML. Bring your unique specialties to complement our diverse technical ecosystem.
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience 2 years of data scientist experience 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience Experience applying theoretical models in an applied environment Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
Experience in Python Perl or another scripting language Experience in a ML or data scientist role with a large technology company PhD in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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