Data Scientist Amazon
Seattle, WA

Job Description

Amazon's North America Sort Center team is looking for an experienced and motivated Data Scientist with outstanding leadership skills, proven ability to develop, enhance, automate, and manage forecasting and cutting edge prediction and learning/Artificial Intelligence models using strong quantitative skills. The successful candidate will have strong data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution.

The position will partner with Engineering, Field Operations, Performance, Last Mile Delivery, Topology, Finance and Technology teams to design and develop short term and long term prediction volume prediction and risk models that use a range of data science methodologies to automate data analysis or to solve complex business problems for the Sort Center network. Responsibilities include building automated tools and support structures needed to analyze data, design metrics for complex systems, dive deep to determine root cause of forecast errors & changes, create statistical definition of the outliers and methodologies to systematically identify and mitigate model variance drivers.

A qualified candidate must have demonstrated ability to develop and manage medium to large-scale forecasting models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology.

Additional Responsibilities include:

* Research machine learning algorithms and implement by tailoring to particular business needs and test on large datasets.
* Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW)
* Create automated metrics using complex databases
* Providing analytical network support to improve quality and standard work results
* Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
* Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
* Foster culture of continuous engineering improvement through mentoring, feedback, and metrics