Python Data Scientist at eHealth4everyone

The Python Data Scientist will write scripts to query and manipulate large data sets. S/he will support the data team in the automation of the collection and analysis of data. S/he will extract data from different sources, analyze it in the best way possible and draw inferences from them. S/he may build specific AI tools for them to automate certain processes in the company. 

Responsibilities: 

• Defines product objectives by gathering and analyzing 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 scraping scripts and software products; unit testing and integration 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. 
• 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 modeling. 
• Develop and maintain Natural Language processing applications using python’s NLP libraries like Spacy, NLTK, HuggingFace, LangChain etc. 
• Write and implement test scripts for python programs. 

If 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. 

Qualification and Skills: 

• A degree in Computer Science, Information Science, Mathematics or any closely related field is required.
• Three (3) years of Sound knowledge of python libraries like Pandas, Request, NumpPy, MatPlotLib etc.
• 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, prioritize and resolve issues. 
• Enthusiasm and high level of motivation.