Data Scientist - Amazon Advertising

Location: New York, New York, US
Recruiter: Amazon
Date posted: Thursday, November 20, 2025

Job Description:
Join Amazon Advertising, one of our fastest growing and most profitable businesses, as a Data Scientist. Be a part of a dynamic team responsible for delivering innovative advertising products that drive discovery and sales. Our solutions are essential for supporting Amazon's Retail and Marketplace businesses in achieving long-term growth.As a Data Scientist on this team, you will:Lead data science solutions from inception to execution.Tackle large-scale, complex problems with a high degree of independence.Utilize coding skills in Python, R, Scala, SQL, etc., to retrieve, manipulate, and analyze data.Design and implement Machine Learning and statistical models to address specific business challenges.Analyze historical data to identify trends and provide data-driven recommendations.Define statistical parameters for outlier detection and develop methods to identify and analyze anomalies systematically.Build decision-making models and propose solutions that enhance business performance.Communicate insights effectively to both technical and non-technical audiences.Why consider this opportunity?Become a key contributor to Amazon's world-class advertising operations and help drive billions in revenue.Work collaboratively in a motivated team that values innovation and experimentation.Define a long-term vision for our data science efforts while translating customer needs into actionable research and plans.Basic Requirements:3+ years of experience with data querying languages (e.g., SQL) and scripting languages (e.g., Python).2+ years in a data scientist role with experience in machine learning and statistical modeling.Bachelor's degree in a related field.Preferred Qualifications:Previous experience in a machine learning or data scientist position at a large technology company.We offer competitive compensation based on relevant experience, including salary and potential bonuses. Join a diverse and inclusive team where your contributions will make a significant impact!Location: Specific work address will be provided upon application.

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