Principal Research Scientist, Amazon

at  Amazon AsiaPacific Holdings Private Limited

• 10+ years of tech industry or equivalent experience
• PhD in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field
• Experience working effectively with science, data processing, and software engineering teams
  We are seeking a Principal Research Scientist to lead machine learning science and products in Amazon Japan’s Logistics Science Division. Amazon Japan has one of the fastest and most advanced fulfilment networks in the world. The newly founded science division brings economic science, machining learning, and operations research together to run our logistics even more efficiently. We look forward to partnering with you on this journey and bringing the efficiency to delight our customer.
  In this role, you will build production-grade machine learning models to serve best-in-class shopping and delivery experience to millions of customers on Amazon. This requires you to formulate ambiguous business problems into solvable scientific problems, work with large-scale data pipelines, perform extensive data cleaning and exploration, train and evaluate your models in a robust manner, design and conduct live experiments to validate model performance, and automate model inference on AWS infrastructure.
  The ideal candidate is an experienced data scientist or machine learning engineer who has built machine learning systems in production that delivers business impact at scale in a B2C industry. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You are extremely proficient in Python, SQL and distributed computing frameworks. You have excellent understanding of how machine learning models work under the hood. In addition, you may have worked with AWS infrastructure and causal uplift modeling techniques. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.
  Key job responsibilities
  Work with Product, Finance and Engineering to formulate business problems into scientific ones
  Build large-scale data pipelines for training and evaluating the models using PySpark/SparkSQL
  Extensively clean and explore the datasets
  Train and evaluate ML models in a robust manner
  Design and conduct live experiments to validate model performance
  Automate model inference and monitoring and on AWS infrastructure
  We are open to hiring candidates to work out of one of the following locations:

Singapore, SGP

• Experience implementing models and tools through the use of high-level modeling languages (AMPL, Mosel, R, Matlab, Julia)

Please refer the Job description for details