Problem Formulation (Business problem to Data Science Problem) OKR Validation against statistical measures Data Wrangling Data Storytelling & Insight Generation Problem Solving Excel VBA Data Curiosity Technical Decision Making (How many iterations to go for vs when to stop iterating) Communication & Articulation: Vocal & Written Business Acumen (Consume new domains quickly to learn through data) Design Thinking Data Literacy
Specialization
Data Science Foundation: Senior Data Scientist
Job requirements
Proactive Hiring in the below area.
LLM application development and fine-tuning
Agentic AI frameworks (e.g. LangChain LlamaIndex Semantic Kernel)
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