Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.
This Senior Research Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Supply Chain as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally, you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.
· Drive collaborative research and creative problem solving.
· Constructively critique peer research and mentor junior scientists and engineers.
· Create experiments and prototype implementations of new learning algorithms and prediction technique.
· Collaborate with engineering teams to design and implement software solutions for science problems.
· Contribute to progress of the Amazon and broader research communities by producing publications.
Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
· Ph.D./M.S. in Computer Science, Machine Learning, Statistics or a related quantitative field
· 4-6 years of hands-on experience in predictive modeling and analysis
· 2+ years hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages
· 1+ years 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
· Significant peer-reviewed scientific contributions in premier journals and conferences
· Ph.D. in Computer Science, Machine Learning, Statistics or a related quantitative field
· 6+ years of practical experience applying ML to solve complex problems in an applied environment
· Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
· Experience with defining research and development practices in an applied environment
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts