Amazon Research Scientist GES Operations Engineering 

United States, Washington, Bellevue 

795867736

Key job responsibilities
· Design, develop, and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the North America fulfillment network
· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
· Analyze historical data to identify trends and support decision making.
· Provide requirements to develop analytic capabilities, platforms, and pipelines.
· Design, size, and analyze field experiments at scale.
· Build decision-making models and propose solution for the business problem you defined. This may include delivery of algorithms to be used in production systems.
· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
· Utilize code (python or another object oriented language) for data analyzing and modeling algorithm
· Develop, document and update simulation standards, including standard results reports
· Create basic to highly advanced models and run "what-if" scenarios to help drive to optimal solutions
· Analyze historical data to identify trends and support decision making.
· Apply statistical or machine learning knowledge to specific business problems and data.
· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
· Provide requirements to develop analytic capabilities, platforms, and pipeline
· Ability to travel up to 10%
A day in the life

- Master's degree in a highly quantitative field (Industrial Engineering, Operations Research, Machine Learning, Applied Mathematics, Statistics) or equivalent experience.
- 2+ years of experience developing quantitative models to solve complex problems.
- Expertise in at least one of the following areas: Discrete Event Simulation, Linear Programming, Natural Language Processing and Computer Vision.
- 2+ years strong coding skills in C++, Python or any other scripting languages
- Experienced in handling large data sets using SQL/Python in a business environment.

- · PhD/Master’s degree in Statistics, Industrial Engineering/Operations Research, Mathematics or Statistics or related quantitative field with 5+ years of work experience.
- · Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
- · Hypothesis testing (including statistical hypothesis testing) and experimental design.
- · Experience with unstructured textual data
- · Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences