• Writing reusable, testable, and efficient code for Statistics/ Data Science in Python 3.
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server side logic
• Coding modules for Data Science/ Machine Learning utilizing existing packages.
• Implementation of security and data protection
• Integration of data storage solutions (Database, Flat Files).

• Expert in Python, with knowledge of following Python Libraries: NumPy, Scipy, MatPlotLib, Scikit-Learn, Pandas, StatsModels.
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture
• Good understanding of server-side templating languages.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Understanding of accessibility and security compliance.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools (GIT)

27 Oct 2017 -save job - original job