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: Data Scientist
Job requirements
Need B1 resource for Senior Data Scientist with Experience: 6+ Below is JD: Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions. Build and optimize ML/DL models to power decision-making for agents. Collaborate with cross-functional teams to deliver AI-first digital experiences. Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more. Experience in Data Science / Machine Learning / AI. 4 plus years of Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Real-world experience with Agentic AI frameworks and orchestration tools. Strong understanding of cloud-based AI deployments (Azure/AWS/GCP). A growth mindset with curiosity for emerging AI technologies. Working experience with GitHub
