The role involves identifying opportunities to improve Selling Partner growth and translating them into science problems using statistical solutions like ML and causal inference
Job Summary
The role involves identifying opportunities to improve Selling Partner growth and translating them into science problems using statistical solutions like ML and causal inference.
Candidates will be responsible for mentoring team members, designing roadmaps for complex science projects, and ensuring high standards of technical rigor and MLOps excellence.
Amazon offers a total compensation package including base pay ranging from $150,400 to $260,000 depending on location, along with equity and comprehensive benefits.
Matching Summary
The role involves identifying opportunities to improve Selling Partner growth and translating them into science problems using statistical solutions like ML and causal inference.
Salary
Base: $150,400-$260,000/year; Bonus/Equity: Equity and sign-on payments may be provided; Benefits: Full range of medical, financial, and other benefits included
Skills & Requirements
Must-have
4+ years applied research experience
3+ years building ML models for business
Experience with Java, C++, or Python
Expertise in neural deep learning methods
Proficiency with Spark MLLib and TensorFlow
Experience with large scale distributed systems
Nice-to-have
Strong causal ML knowledge preferred
Ability to mentor applied scientists
Track record of publishing research papers
Experience communicating to non-technical audiences