Applied Scientist, The Device Science and Data Technology

Job summary
Are you passionate about building innovative devices and services and making a global impact? The Amazon Device Services organization is hiring a Senior Applied Scientist to help us use big data to understand customer behavior and deliver better experiences across Amazon devices.

As an Applied scientist, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device Analytics Services to provide customer great products. You will work closely with developers, machine learning experts to design and run experiments, research new algorithms, and find new ways to improve Amazon products. You 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. You will lead the research where we are responsible for developing solutions to detect and diagnose device defects, find casual relationship pointing drivers of the business and better customer experiences, and optimize the system and processes to deliver the best device customer experiences in a scientific and automated way.

Key job responsibilities
The key responsibility for this role include:
· Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements
· Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization
· Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions
· Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers
· Prototype these models by using modeling languages such as R or in software languages such as Python.
· Work with software engineering teams to drive scalable, real-time implementations
· Utilizing Amazon systems and tools to effectively work with terabytes of data.
· Mentor team members for their career development and growth

About the team
Our organization builds the services that enable critical customer experiences across all Amazon devices such as Kindle, Fire TV, Fire Tablets, and Amazon Echo, in addition to Amazon experiences on 3rd-party devices.

Basic Qualifications

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language

· Masters in quantitative field (Statistics, Applied Math, Operations Research, Economics or equivalent)
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, forecasting, optimization, etc.
· Using modeling and mathematical optimization techniques tailored to meet real life problems through a record of achievements in industrial and/or academic environments

Preferred Qualifications

· PhD degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in natural language processing or machine learning
· 4+ years of industrial and/or academic experience in supply chain management, operations management, simulation or a closely related field
· Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language
· Published research work in academic conferences or industry circles
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
· Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
· Thrive in a fast-paced, innovative environment


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.