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Applied Scientist

Job ID: 1780023 | Amazon.com Services LLC

DESCRIPTION

Job summary
Are you seeking an environment where you can drive innovation? Do you want to apply techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? Come and join us!

The Amazon Demand team seeks an Applied Scientist to join our team. Scientists in Demand lead the development of novel algorithmic architectures, toward the ultimate goal of accurately predicting customer demand for millions of products world-wide. This drives down costs and enables the offer of lower prices and better in-stock selection for our customers.

Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to improve the supply chain efficiency. Our science community values teamwork, supports continued , and recognizes the need to take chances and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. Your work can be part of Amazon production system and result in concrete business impact. Recent work from Demand includes papers presented at the NIPS 2017 Time Series Workshop, KDD 2018 Time Series Workshop, and ICML 2018 Generative Models Workshop.

Responsibilities:
· Collaborative research and development of demand forecasting solutions
· Prototype and implement new algorithms and prediction techniques
· Collaborate with product managers and engineering teams to design and implement software solutions for Amazon problems
· Contribute to progress of the Amazon and broader research communities by producing publications

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
· Ph.D./M.S. in Computer Science, , Operational Research, Statistics or a related quantitative field
· 1+ years of hands-on experience in modeling and analysis
· 1+ years hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages
· Proficiency in model development, model validation and model implementation for applications
· Strength in distilling problem definitions, models, and constraints from complex business problems and requirements
· Significant peer-reviewed scientific contributions in premier journals and conferences
· Ability to convey mathematical results to non-science stakeholders

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

PREFERRED QUALIFICATIONS

· Ph.D. in Computer Science, , Operational Research, Statistics or a related quantitative field
· Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
· 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
· Ability to work on a diverse team or with a diverse range of coworkers

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 We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.
· Experience with , systems, mathematical programming models, Operations Research techniques, enterprise scale Oracle Databases, SQL and user interface design and development in a Linux environment are all distinct advantages.
· The leadership capacity to influence the technical direction of a new product while ensuring a team-oriented approach to delivery in an agile software development environment.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation



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.