Data Scientist

Responsiblties:

• Create data architectures, including solving data problems with an emphasis on product development.
• Write code in a statistical or computer programming language such as SQL, SAS, R or Python to aid in analysis.
• Build ETL pipeline, which is a set of processes to extract data from one system, transform it and load it into various systems.
• Integrate data from varying sources, formats, and quality for analysis.
• Apply a variety of analytical approaches to solve mission focused policy, methodologies, and/or administrative problems in a fast-paced environment.
• Conduct analysis in a programming or statistical software.
• Summarize and present results using data visualization tools.
• Communicate findings and provide recommendations to policymakers and non-technical audiences.

Key Skills:

• Statistical Analysis and Mathematics. 
• Programming and Software Engineering. 
• Data Manipulation and Visualization. 
• Machine Learning & Artificial Intelligence.
• Deep Learning. 
• Natural Language Processing.
• Big Data. 
• Cloud computing.