Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online.
Amazon's evolution is driven by the spirit of innovation that is part of the company's DNA.
Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects.
We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning algorithms as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems.
Key Responsibilities:Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question.Estimate solution feasibility and potential approaches based on available data.Understand what data is available, where, and how to pull it together.
Work with partner teams where needed to facilitate permissions and acquisition of required data.Quickly prototype solutions and build models to test feasibility of solution approach.Build statistical models/ML models, train and test them to drive towards the optimal level of model performance.Improve existing processes with the development and implementation of state-of-the-art generative AI models.Work with technology teams to integrate models by wrapping them as services that plug into Amazon's marketplace and fulfillment systems.Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem.Address problem sets covering aspects of detecting fraud and abuse, improving performance, driving lift and adoption, recommending the right upsell to the right audience, cost saving, selection economics, and several others.Minimum Qualifications:5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.
).5+ years of data scientist experience.Experience with statistical models e.g., multinomial logistic regression.Experience working collaboratively with data engineers and business intelligence engineers.Experience managing data pipelines.Experience as a leader and mentor on a data science team.
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