Data Analyst-Python

Job Description:

Jon Description

Work Scope:     

• Use statistical analysis, machine learning, pattern recognition, and data visualization along with domain knowledge and subject-specific models to solve science, engineering, and commercial problems
• Solve challenging data science problems by developing novel and/or adapting existing computational methods
• Debugging and performance tweaking in Python
• Taking ownership over parts of an application and collaborating on global issues
• Understand and enjoy working in a micro service based architecture

Required Qualification: 

• Keen problem-solving ability and the ability to creatively solve problems to drive better operations is a key requirement.
• Expert with using data science libraries (numpy, pandas, scipy, matplotlib etc.) and web scraping libraries (beautiful soup, scrapy etc.)
• Experience with REST, JSON or similar API's (Must)
• Experience with SQL (Teradata, Oracle)
• Familiarity with NoSQL (Postgre, Redis, ElasticSearch, Mongo)
• Familiarity with Python frameworks such as Django, Flask, Pyramid.
• Understanding of the threading limitations of Python, and multi-process architecture
• Excellent analytical and troubleshooting skills
• Familiarity with event-driven programming in Python
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools (such as Git, Mercurial or SVN)
• Ability to translate client briefs into strategies and requirements for the team.
• Excellent communication with both clients as well as technical and creative team members
• Excellent documentation skills including creating meaningful technical specs.
• Self-motivated with good time management.