Retail Category Management: Grocery, Household & Personal Goods
Seattle, Washington
interdisciplinary Analytics team North American Consumables
The North American Consumables organization is seeking a Data Scientist to design, evangelize, and implement solutions to address complex, business questions using advanced statistical techniques, experimentation, and big data. You will work with economists, business leaders, and tech partners to conduct statistical analyses, develop data pipelines, build ML models, build tools to drive continuous experimentation, and provide recommendations based on data analyses. We are looking for creative thinkers who can combine a strong analytical toolkit with a desire to continue innovating, and who is able to execute and deliver on big ideas. Consumables products are a part of every customer’s life spanning diverse categories including: grocery beauty and cosmetics, household cleaning, over-the-counter medicine, health and wellness, baby care, etc. In this role, you will help Amazon identify ways to offer customers everyday Consumables products, while saving them time and mindshare. This role will
· Master’s degree in math, economics, engineering, statistics, or related discipline is required. · 2+ years professional experience in machine learning, statistical modeling, data mining, and analytics techniques. · Experience with SQL and big data technologies. · Experience with Python/R or other machine learning software. · Familiarity with AWS (or similar cloud) solutions such as EMR, S3, and Redshift. · Demonstrated ability to manage and prioritize workload and roadmaps. · Familiarity with data visualization tools. · Solid customer-facing skills.· Ph.D. in Operations Research, Statistics,