Python Data Scientist

at  eHealth4everyone

QUALIFICATION AND SKILLS:

• A degree in Computer Science, Information Science, Mathematics or any closely related field is required.
• Sound knowledge of NumPy, Pandas, MatPlotLib or NLTK libraries.
• Good knowledge of relational and structural databases and how to create database schemas that represent and support business processes.
• Understands the design principles behind a scalable application.
• Sound knowledge of version control tools such as git.
• Strong knowledge of web server exploits and their solutions.
• Passion for best design and coding practices, and a desire to develop new interesting ideas.
• Top-notch programming skills and in-depth knowledge of modern data science/machine learning and natural language processing technologies.
• Teamwork.
• Good communication skills.
• Highly organized and pays extraordinary attention to detail.
• Must have the ability to act quickly and pragmatically under pressure, prioritise and resolve issues.
• Enthusiasm and high level of motivation.
  Please Note: This is a fully Onsite position, not currently available for remote or hybrid.

• Defines product objectives by gathering and analysing user requirements; envisioning system features and functionality.
• Recommends data solutions by exploring the advantages and benefits of existing development against alternative development.
• Be involved in regular testing of data scrapping scripts and software products; unit testing and final testing.
• Writes and updates software test processes and procedures.
• Coordinates (or partakes in) the coding/programming of software products and solutions with version control systems such as git.
• Develop and maintain python scripts or applications to perform data scraping using the best available libraries in python.
• Development and maintenance of data pipeline processes.
• Implement requests to APIs and develop API modules with python.
• Perform Data Analysis, mining and visualization using relevant python libraries.
• Developing data models and algorithms best suited to a particular scenario.
• Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling.
• Develop and maintain Natural Language processing applications using python’s NLTK library concepts.
• Write and implement test scripts for python programs.
• As the lead developer for a product or solution, he/she will do the following;
• Breaks down tasks into executable units,
• Assigns tasks to team members and allocates time,
• Manages product features – backlog manager,
• Responsible for managing and enforcing coding style and collaboration standards,
• Supports and coordinates team members with appropriate review and retrospectives.
• Involves in code review and optimization, and implements reviews made on products.
• Write reusable and testable codes.