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Applied Scientist

Company: Amazon.com, Inc.
Location: Bellevue
Posted on: June 6, 2021

Job Description:

Are you seeking an environment where you can drive innovation? Do you want to apply learning 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 Forecasting team seeks a Senior Applied Scientist to join our team. Scientists in Demand Forecasting 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 supply chain 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 drive the Supply Chain. As a Senior Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers. Within Demand Forecasting, our Science community values teamwork, supports continued learning, and recognizes the need to take risks 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 Forecasting includes papers presented at the NIPS 2017 Time Series Workshop, KDD 2018 Time Series Workshop, and ICML 2018 Deep Generative Models Workshop.

Responsibilities:

  • Drive collaborative research and creative problem solving
  • Constructively critique peer research and mentor junior scientists and engineers
  • Prototype and implement new learning 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
  • 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, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 1+ years of hands-on experience in predictive 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 large-scale 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

  • Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 1+ years of practical experience applying machine learning to solve complex problems in an applied environment
  • 1+ years professional experience in software development
  • 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
  • Experience with forecasting, optimization 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

Keywords: Amazon.com, Inc., Bellevue , Applied Scientist, Other , Bellevue, Washington

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