Amazon Data Scientist Robotics Operations Solutions 

United States, Washington, Seattle 

290600064

This role can be offered in Seattle or Boston.As a data scientist in Global Robotics Delivery, you will dive deep into problems in manufacturing and supply chain science. You will design and deliver full-stack data science services to optimize robotics supply chain and manufacturing.Key job responsibilities
* Actively support and foster our team’s culture of inclusion
* understand how to turn ambiguous problems in supply chain and manufacturing into tangible solutions
* Deliver CI/CD machine learning solutions
* Bring new ideas into production
* Build subject matter expertise in manufacturing and supply chain science
* Deliver machine learning models as machine learning services
* Demonstrate mastery of exploratory data analysis and the ability to communicate and productionize results
* Delivering insights from production data or ad-hoc experimentation
* Demonstrate mastery of data visualization and data story-telling
* Demonstrate an understanding of machine learning services
* Demonstrate results to customers in a full stack approach such as through Streamlit application development

- 1+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience

- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)