Amazon Senior Applied Scientist ShipTech Analytics 

United States, Washington, Bellevue 

527727069

- Pioneer the flagship AI-programs, employing traditional ML and GenAI to derive insights and recommendations for crucial metrics like Delivery Estimate Accuracy (DEA)
Key job responsibilities
You will work closely with business/operations leaders, product managers, business intelligent engineers, software engineering leadership & senior engineers to build capabilities that transform our transportation analytics. This includes analyzing big data, building end-to-end analytics pipelines, prototype optimization/ML/simulation models, and launch production capabilities. You will have exposure to senior leadership as you communicate results and provide scientific guidance to the business. Your insights will be a key influencer of our product strategy and roadmap and your experimental research will inform our future investment areas.

- 4+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Knowledge and practical experience in building large-scale solution in transportation and logistics domain