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Senior Applied Scientist

Senior Applied Scientist

Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Machine Learning Science
Recruiting Team 

Job Description

Amazon is looking for a leader to fill the position of Principal Applied Scientist to lead research and development that supports the demand planning, instock, research and strategic planning teams for the entire Amazon device family of products and accessories. This leadership role is central to the continued growth of the Devices division as we have grown from the first Kindle e-reader to a vast portfolio of Fire tablets, Fire TVs, Echo, and Dash.
We develop sophisticated algorithms that involve learning from large amounts of past data. You will provide scientists and engineers about research and technology directions. You will work on complex scientific problems with large opportunities. You will develop new algorithms and improve existing approaches. You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, experimenting, and analyzing predictive and optimization models. You will also be prototyping the implementations.

Key Responsibilities:

Interact with business and software teams to understand their business requirements and operational processes
Frame business problems into scalable solutions
Adapt existing and invent new techniques for solutions
Create and track accuracy and performance metrics
Gather data required for analysis and model building
Prototype models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.
Interview, mentor, and develop scientists and engineers across the organization
Create, enhance, and maintain technical documentation

Basic Qualifications

PhD in machine learning, operations research, applied mathematics or a related field
10+ years of industry experience
Extensive experience building predictive and optimization models
Expert knowledge in at least one of following fields: machine learning, operations research, human device communications
Fluency in a high-level modeling language such as R, SAS, Matlab or other statistical software
Proficiency in at least one modern programming language such as Java or C++
Strong communication, influencing and partnership skills

Preferred Qualifications

Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives
Ability to convey rigorous mathematical concepts and considerations to non-experts
Experience with big data and analytics
Experience designing and supporting large-scale distributed systems in a production environment
Natural curiosity and desire to learn
People and project management experience