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You evaluate with scientific rigor and provide inputs to business strategy and technical direction. You will collaborate with software engineering teams to integrate your algorithmic solutions into large-scale highly complex Amazon production systems.
The product catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a huge selection across a large number of categories and positions Amazon as the first stop for shopping online. As an applied scientist in ASCS you will help us make the world's best product catalog even better and improve the experience for millions of customers.
You will analyze how information within Amazon's catalog affects our customers and help devise short term and long term strategy for expanding and enhancing the catalog. You will have the opportunity to design new data analytical workflows at a scale rarely available elsewhere, utilizing state-of-the-art data science and machine learning tools such as Spark, Python, and Theano and Amazon's cloud computing technologies such as Elastic Map Reduce (EMR), Kinesis, and Redshift.
You will apply your knowledge about data science by creating algorithmic solutions that combine techniques like clustering, pattern mining, predictive modeling, deep learning, statistical testing, information retrieval, and natural language processing and apply them to huge data amounts of data describing the products in the catalog and the customer interactions. You evaluate with scientific rigor and provide inputs to business strategy and technical direction. You will collaborate with software engineering teams to integrate your algorithmic solutions into large-scale highly complex Amazon production systems.
PhD in CS, Applied Math, Statistics, or a related field.
Proficiency with a scripting language such as R, Matlab, Python
5+ years of hands on experience working on applied machine learning projects.
Proficiency with a production language such as C++ or Java
A strong track record of innovating through machine learning and statistical algorithms and their applications.
Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.
Ability to innovate in ML and a track record of publications.
5-8 years of experience working on applied machine learning projects.
ML Data Scientist
Amazon.com, Inc. is an American electronic commerce and cloud computing company that was founded on July 5, 1994 by Jeff Bezos and is based in Seattle, Washington. The tech giant is the largest Internet-based retailer in the world by total sales and market capitalization. Amazon.com started as an online bookstore and later diversified to sell DVDs, Blu-rays, CDs, video downloads/streaming, MP3 downloads/streaming, audiobook downloads/streaming, software, video games, electronics, apparel, furniture, food, toys, and jewelry. The company also produces consumer electronics notably, Kindle e-readers, Fire tablets, Fire TV, and Echo and is the world's largest provider of cloud infrastructure services (IaaS and PaaS). Amazon also sells certain low-end products like USB cables under its in-house brand AmazonBasics.