Description de l'offre
Amazon's Last Mile Data Science team is looking for a Applied Scientist to optimize one of the most complex logistics systems in the world. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control are particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis & optimization is also a plus.
Amazon's extensive logistics system comprises thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements truly unparalleled. This magnificent challenge is a terrific opportunity to understand, model, simulate, optimize, and reshape one of the world's most complex systems.
Your main focus will be come up with efficient model-based optimization tools, at various levels of fidelity, used in designing our transportation network. You will make the real complexity of our logistics system visible, tangible, and manageable using cutting edge algorithmic methods. You will integrate modeling and simulation capabilities to validate assumptions on the intricate interactions among different elements of our system. You will identify and evaluate opportunities to improve customer experience, network speed, cost, and the efficiency of capital investment. You will improve the capability of systems analyses that use optimization, simulation, and machine learning techniques. You will quantify the improvements resulting from the application of these tools and you will evaluate trade-offs between competing outputs of the system.
This position requires drive and self-motivation, superior analytical thinking, data-driven disposition, application of technical knowledge to a business context, effective collaboration with fellow Applied scientists, software development engineers, and product managers, effective communication of technical designs to technical and non-technical audiences, and close partnership with many stakeholders from operations, finance, IT, and business leadership.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction
Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
Analyze and solve business problems at their root
· At least 2 years of industry experience in data analysis, statistical analysis and predictive modeling
· MBA from a top tier business school
· Record of delivering large analytical solutions with business impact
· Experience on R/SAS/Matlab and SQL
· Excellent Microsoft Office skills, including a strong working knowledge of Excel
· Problem solving ability and passion for big data
· Excellent communication and data presentation skills
· Fluent written and spoken English
· Professional traits necessary for Amazon leaders:
· Exhibits business judgment
· Has relentlessly high standards
· Dives deep and is result oriented
· Thinks big and has convictions
Works in a fast-paced environment where continuous innovation is desired and ambiguity is the norm