Sr. Data Scientist, Amazon Private Brands

2 weeks ago


Vancouver, Canada Amazon.com.ca, ULC Full time

Join our Amazon Private Brands Core Tech organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.The CoreTech team's areas of focus include data management and analytics, development of central services, and Agentic development. Core Tech delivers standardized solutions across multiple teams, reducing redundant work and accelerating scaling and production. A key aspect of Core Tech's role is its focus on prototype development and innovation. The team builds and tests prototype solutions that serve as blueprints for other teams to scale. As a Sr. Data Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, agentic AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.This is a unique, high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.Key job responsibilities- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.- Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.- Review and guide science solutions across the team.- Publish and socialize your and the team's research across Amazon and external avenues as appropriate- Leverage industry best practices to establish repeatable applied science practices, principles & processes.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regressionPREFERRED QUALIFICATIONS- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience- Experience managing data pipelines- Experience as a leader and mentor on a data science teamAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers.



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