Applied Scientist

Job ID: 1222585 | Amazon.com Services LLC

DESCRIPTION

We are looking for a customer obsessed Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the international e-Commerce space. Right candidate will develop algorithms and models to handle unique cross border shopping problems such as sharper shipping charges, ML driven custom duties, sharper prices, improve selection data quality, improved product discovery or offering scalable, highly localized customer experience to name few.

Does the challenge of AI solving some of the pain points of millions of international shoppers from 100+ countries, in multiple currencies and excite you? Have you ever wanted to work on machine learning problems that will make a lasting impact, solving key problems that impact the experience of millions of Amazon customers? If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.

As a member of our team you will develop and evaluate machine learning models using large data-sets, cloud services, customer behavior, transactional history to improve our customer’s experience. Working closely with best-in-class engineers you will have the opportunity to apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our technology roadmap. You will need to be entrepreneurial, able to deal with ambiguity and work in a highly collaborative environment.

We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality. Responsibilities include:
· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
· Create experiments and prototype implementations of new learning algorithms and prediction techniques
· Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems
· Use machine learning best practices to ensure a high standard of quality for all of the team deliverables

BASIC QUALIFICATIONS

· M.S. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· 3+ years of hands-on experience in predictive modeling and analysis
· 2+ years of hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages
· 1+ years of professional experience in software development
· Proficiency in model development, model validation and model implementation for large-scale applications
· Ability to convey mathematical results to non-science stakeholders Strength in clarifying and formalizing complex problems
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

PREFERRED QUALIFICATIONS

· Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· 5+ years of practical experience applying ML to solve complex problems in an applied environment
· Significant peer-reviewed scientific contributions in premier journals and conferences
· Strong CS fundamentals in data structures, problem-solving, algorithm design and complexity analysis
· Experience with defining research and development practices in an applied environment
· Proven track record in technically leading and mentoring scientists
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
· Excellent interpersonal communication with strong verbal / written English skills