Private Brand Analytics Data Scientist
Job Description & How to Apply Below
In this pivotal role within the Core Tech Private Brands Analytics group, you will engage in full-cycle development of forecasting models, emphasizing automation and precision. Utilizing platforms like S3 and Sage Maker, you'll replace conventional spreadsheet methods with efficient, reproducible code. Collaborating closely with business, science, and technology stakeholders enables you to evaluate model accuracy and contribute to the organization’s scientific integrity.
Key Responsibilities:
• Develop forecasting and planning models for APB
• Automate manual data processes with code-driven solutions
• Evaluate and enhance model performance
• Work collaboratively with various stakeholders
• Support APB’s scientific standards and practices
Requirements:
• 1+ years experience in SQL or Python
• 2+ years as data/research scientist in a tech company
• Master’s degree in Science or Engineering disciplines
• Experience in statistical packages and BI tools
• Proven skill in data interpretation and analysis
Revolutionize data insights and elevate performance standards at Amazon by bringing your expertise to the Private Brand Analytics team.
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