Python Developer

As a Python Developer for Statistical Software Development, you will be responsible for the following: - Strong proficiency in Python - Hands-on experience in statistical software development - Proven experience with: - PyQt for desktop application (GUI) development - Pandas and NumPy for data manipulation and analysis - Matplotlib for data visualization and charting - Experience in developing, maintaining, and enhancing analytical or statistical tools - Ability to translate business and statistical requirements into scalable, user-friendly software solutions In this role, you will be working on a desktop-based statistical and analytical software used for data analysis, visualization, and decision support. The tool handles structured datasets, performs statistical computations, generates plots and reports, and provides an interactive user interface for business and technical users. It is primarily used for analytical studies, validation, and internal decision-making. Qualifications Required: - Minimum 5 years of hands-on experience in Python-based application development If you have the expertise in Python and statistical software development, along with the technical skills mentioned above, and are passionate about creating user-friendly software solutions for analytical studies, this role is perfect for you. As a Python Developer for Statistical Software Development, you will be responsible for the following: - Strong proficiency in Python - Hands-on experience in statistical software development - Proven experience with: - PyQt for desktop application (GUI) development - Pandas and NumPy for data manipulation and analysis - Matplotlib for data visualization and charting - Experience in developing, maintaining, and enhancing analytical or statistical tools - Ability to translate business and statistical requirements into scalable, user-friendly software solutions In this role, you will be working on a desktop-based statistical and analytical software used for data analysis, visualization, and decision support. The tool handles structured datasets, performs statistical computations, generates plots and reports, and provides an interactive user interface for business and technical users. It is primarily used for analytical studies, validation, and internal decision-making. Qualifications Required: - Minimum 5 years of hands-on experience in Python-based application development If you have the expertise in Python and statistical software development, along with the technical skills mentioned above, and are passionate about creating user-friendly software solutions for analytical studies, this role is perfect for you.