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Data Scientist - Seller Fee Science - Amazon.com
Data Scientist
Data Scientist focused on building machine learning models and economic simulations to optimize seller fee strategies, quantify impact, and ensure accurate fee calculations across billions of Amazon transactions.
About the role
Key Responsibilities
- Develop and deploy predictive models to forecast fee impact and optimize pricing strategies for Amazon sellers.
- Collaborate with economists, physicists, and mathematicians to design and validate economic models that inform fee policy decisions.
- Analyze large-scale transaction data to identify trends, anomalies, and opportunities for fee structure improvements.
- Communicate findings and model insights to cross-functional stakeholders, translating complex analyses into actionable recommendations.
- Maintain and enhance data pipelines, ensuring data quality, scalability, and compliance with Amazon’s data governance standards.
Requirements
- Strong proficiency in Python and experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).
- Solid background in economic modeling, statistics, or related quantitative field.
- Hands‑on experience with SQL and large relational or distributed data stores.
- Excellent analytical, problem‑solving, and communication skills.
- Experience working in a fast‑paced, data‑driven environment is a plus.
Skills
pythonmachine learningdata analysissql