Description

　　We are seeking a Senior Applied 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.

　　We are open to consider high-potential candidates with less experiences for a more junior position.

　　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:

　　Tokyo, 13, JPN

　　Basic Qualifications

　　PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in ML in a consumer product company.Preferred Qualifications

　　Strong programming skills in Python and querying skills in SQL

　　Proficiency with data analysis and machine learning packages e.g. Pandas, Numpy, Matplotlib/Seaborn/Plotnine, Scikit-Learn, LightGBM, etc.

　　Experience working with large datasets using distributed computing frameworks e.g. PySpark/SparkSQL, Modin, etc.

　　Experience in developing and implementing machine learning models for tabular data in production

　　Strong understanding of statistical analysis (hypothesis testing and experiment design) and machine learning techniques for tabular data

　　Experience with AWS infrastructure e.g. S3, Sagemaker, Lambda and Step Function

　　Publications in top-tier machine learning conferences

　　Please check the website below for measures to eliminate unwanted second-hand smoking in each facility:

　　https://www.amazon.jobs/en/landing_pages/passivesmoking

　　就業の場所における受動喫煙を防止するための措置に関する事項については、下記リンク先をご覧ください。

　　https://www.amazon.jobs/jp/landing_pages/passivesmoking

　　The salary information can be provided individually prior to the 1st interview

　　賃金に関する条件は、１次面接の前に個別にご案内することができます