Research Scientist II

Job description

DESCRIPTION

At Amazon, a large portion of our business is driven by third-party Sellers who set their own prices. The Pricing team is seeking a Applied Scientist to use statistical and machine learning techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Marketplace Sellers offer Customers great prices. This role will be a key member of an Advanced Analytics team supporting Pricing related business challenges based in Seattle, WA.

The Research Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Research Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. The Research Scientist at Amazon applies scientific principles to support significant invention, develops software code and are deeply involved in bringing their algorithms to production. They also work on cross-disciplinary efforts with other scientists within Amazon.

The key strategic objectives for this role include:
· Understanding drivers, impacts, and key influences on Pricing dynamics.
· Optimizing Seller Pricing to improve the Customer experience and grow the Amazon business.
· Drive actions at scale to provide low prices and increased selection for customers using scientifically-based methods and decision making.
· Helping to build production systems that take inputs from multiple models and make decisions in real time.
· Automating feedback loops for algorithms in production.
· Utilizing Amazon systems and tools to effectively work with terabytes of data.

PREFERRED QUALIFICATIONS

Preferred Qualifications
· 5+ years of relevant experience, including:
· Extensive knowledge and practical experience in statistics, machine learning, deep learning, or econometrics.
· Demonstrated ability to implement different techniques in predictive analytics, forecasting, and measurement.
· Experience with experimental design.
· Expertise in analyzing both experimental and observational data sets.
· Skilled with Java, C++, or other programming language.
· Experience with tools and technologies enabling self-sufficiency in data analysis and modeling such as R, python, Hive, Pig, SQL, or other scripting languages.
· Ability to deal with ambiguity and juggle competing priorities.

Desired profile

BASIC QUALIFICATIONS

Basic Qualifications
· PhD degree or MS degree in Computer Science Machine Learning or related field.
· 3+ years of experience in ML, OR, econometrics or statistics.
· Strong track record of high quality and high impact technical publications.
· Proven written and verbal communication skills to convey complicated processes and systems to business partners.