Position Details
About this role
This Data Scientist role within Amazon Business Data Insights and Analytics leads research and thought leadership to drive the company’s data and insights strategy. You will build predictive and optimization models and implement detection systems that analyze customer behavior to identify abuse and fraud.
Key Responsibilities
- Research and experiment with predictive and optimization models
- Design and implement advanced detection systems for customer behavior analysis
- Use data signals to identify potential abuse and fraudulent activities
- Prototype models using R or Python and measure accuracy and performance metrics
- Create and enhance technical documentation and collaborate cross-functionally
Technical Overview
You will work with diverse data signals (customer profiles, purchase patterns, and network associations) using state-of-the-art machine learning techniques and AWS services. The role includes prototyping models using R or Python, measuring accuracy/performance metrics, and maintaining technical documentation.
Ideal Candidate
The ideal candidate is an experienced Data Scientist with 2+ years of data science experience, strong SQL and Python (and/or R) skills, and a track record applying machine learning/statistical modeling techniques. They can prototype predictive and optimization models, build detection systems for fraud and abuse, and communicate effectively with cross-functional teams while leveraging AWS services.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have 2+ years of data scientist experience, Must have 2+ years of data querying languages (SQL) and/or scripting languages (Python) or statistical/mathematical software as stated, Must have 2+ years of machine learning/statistical modeling data analysis tools and techniques
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