About the Role

The Applied Scientist will develop and optimize pricing and promotion algorithms using large-scale datasets to ensure competitive and error-free pricing across Amazon's global marketplace. They will apply machine learning and reinforcement learning techniques to solve complex pricing problems and drive significant business impact.

Key Responsibilities

• Understand and influence the long-term vision for Amazon's science-based pricing techniques
• Partner with product, engineering, and science teams to deploy machine learning solutions at scale
• Stay updated on scientific advancements and apply them to pricing business problems
• Foster rapid experimentation and continuous learning for customer innovation
• Apply technical expertise to solve hard pricing problems and deliver incremental value

Required Skills & Qualifications

Must Have:

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, or high-performance computing
• 2+ years of hands-on predictive modeling and large data analysis experience
• Experience solving business problems through machine learning, data mining, and statistical algorithms

Nice to Have:

• Experience building machine learning models or developing algorithms for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in optimization (LP, MIP), statistics, machine learning, process control, or combinatorial optimization

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits (equity, sign-on payments, etc.)