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Senior Data Scientist
Primary Skills
- 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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