Verified Job On Employer Career Site Job Summary: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. The Pricing & Promotions Optimization Science team is seeking a motivated Applied Scientist to develop customer-relevant pricing and promotions for billions of products. This role involves collaborating across teams to deploy innovative AI and data science solutions while keeping abreast of the latest advancements in the field. Responsibilities: • Understand and influence the long term vision for Amazon's science-based competitive, perception-preserving pricing/promotion techniques • Partner with product, engineering, and science teams within and outside Pricing & Promotions org to deploy AI/Data Science solutions at Amazon scale • Establish mechanisms to stay up to date on latest scientific advancements in neural networks, search & ranking, natural language processing, probabilistic forecasting, reinforcement learning, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems • Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery • Apply your exceptional AI and data science expertise to incrementally move the needle on some of our hardest science and tech problems Qualifications: Required: • 5+ years of building machine learning models for business application experience • PhD, or Master's degree and 5+ years of applied research experience • Experience programming in Java, C++, Python or related language • Experience with neural deep learning methods and machine learning Preferred: • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. • Experience with large scale distributed systems such as Hadoop, Spark etc. Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company.