About the Role

Senior Data Scientist role at Amazon Private Brands, focusing on applying Generative AI, Machine Learning, Statistics, and Economics to drive product assortment and strategic decisions. Responsibilities include inventing novel solutions, developing prototypes, and deploying production software to solve business problems. The role involves high visibility, interdisciplinary collaboration, and direct customer impact.

Key Responsibilities

• Partner with business stakeholders to frame business problems as science solutions
• Invent novel science solutions, develop prototypes, and deploy production software
• Review and guide science solutions across the team
• Publish and socialize research across Amazon and external avenues
• Establish repeatable applied science practices and processes

Required Skills & Qualifications

Must Have:

• 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)
• 4+ years of data scientist experience
• Experience with statistical models (e.g., multinomial logistic regression)

Nice to Have:

• 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

Benefits & Perks

• Base salary ranging from $143,200 to $239,100 per year
• Equity, sign-on payments, and other forms of compensation as part of total package
• Full range of medical, financial, and/or other benefits