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; and 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 and support 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.
• 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.
• Sound knowledge of python libraries like Pandas, Request, NumpPy, MatPlotLib, Tersorflow, Seabourn, etc.. 
• Familiarity with using generative AI like OpenAI, Gemini, Cloud
• 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.