Data Scientist

Python Python Programming (Advanced):. You must be proficient in Python, utilizing object-oriented programming, modern type hinting, and asynchronous patterns. Environment & Dependency Management: Familiarity with modern Python package managers like uv, virtual environments (.venv), and pip. Command Line Interface (CLI) Proficiency: Ability to navigate CLI tools, as well as general shell scripting Conversational AI / Agent Architecture (Dialogflow CX) Generative Agent Design: Shifting from legacy intent-based state machines to generative, goal-oriented architectures (understanding Apps, Agents, Sub-agents, and Sessions within CX Agent Studio). Prompt Engineering & Context Management: Writing robust system instructions, managing conversational memory, and optimizing LLM context windows for voice interactions. Dialogflow CX Fundamentals: Understanding the underlying mechanics of Dialogflow CX.