Senior Data Scientist, AFT Inventory

We are looking for customer obsessed, highly analytical Data Scientist to lead the science innovation, transformation and development for evolving Amazon Fulfilment Tech Inventory, to identify and manage inventory defects and risks at e-commerce sale.

Our solutions and products are directly consumed by business teams and affect the lives of millions of end customers with availability, fast delivery speed and lower product costs.

You will work with multiple partner teams across International Stores and Operations, and also WW partners. We are a team that thrives on growth, both personal and professional. This is the ideal role if you are excited about leveraging science for tangible business impact and have already some experience in the delivery experience and customer experience domains.

Key job responsibilities

• Lead the analysis, prototyping and implementation of solutions for Inventory Risk and Defect Management

• Work closely with other scientists and engineers to review and improve your model design proposals

• Partner with product managers and other business stakeholders, documenting and explaining your progress in business reviews, and being the technical voice in charge of your product

• Lead data transformation in the business - identify and implement opportunities to simplify and sharpen the way we do business through data automation and analytics

• Be active in the community, participating in science education/growth activities

• Keep up to date with scientific development in the field

Basic Qualifications

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 4+ years of data scientist experience

• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• 2+ years of data visualization using AWS Quick Sight, Tableau, R Shiny, etc. experience

• Experience managing data pipelines

• Experience as a leader and mentor on a data science team

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