Data Scientist

Responsibilities :

• Translate reporting requirements into modular, reusable Python classes and scripts.
• Build automation workflows by using Python.
• Read JSON input files.
• Dynamically construct and execute SQL queries against our database.
• Invoke calculation modules to cleanse, transform, and compute derived metrics.
• Embed calculation outputs into specified PowerPoint slide shapes using python-pptx.
• Upload completed presentations to Google Drive via the Google Drive API.
• Implement robust error handling, logging, and retry mechanisms to ensure production reliability.
• Parameterize and configure scripts to support different report types and inputs without code changes.
• Use Git (or similar VCS) to manage deployment and scheduling of automated jobs.
• Monitor script performance; optimize Python code for speed and scalability.
• Document solution architecture, data flows, module interfaces, and configuration options.
• Collaborate with stakeholders to validate results and refine requirements.
• Stay up-to-date with Python best practices, key libraries (pandas, SQLAlchemy, python-pptx, google-api-python-client), and automation trends.

Required Qualifications :

Preferred (Nice-to-Have)