Applied Scientist, Buyer Abuse Prevention Ml
2 days ago
PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Key job responsibilities
As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.
**Responsibilities**:
- Invent, implement, and deploy state of the art machine learning algorithms and systems
- Build prototypes and explore conceptually new solutions
- Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
- Take ownership of how ML solutions impact Amazon resources and Customer experience
- Develop efficient data querying infrastructure for both offline and online use cases
- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
- Research and implement novel machine learning and statistical approaches
- Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
- Experience using Unix/Linux
- Experience in professional software development
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Bengaluru, Karnataka, India Amazon Full time US$ 90,000 - US$ 1,20,000 per yearHave you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and...
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Bengaluru, Karnataka, India Amazon Full timeHave you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and...
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