Data Scientist (Classical ML, NLP & LLM/GenAI/Agentic AI)
Core
Lead high-impact Data Science initiatives converting diverse data into actionable insights and decision support for enterprise leaders.
Role type
Senior IC Data Scientist (Classical ML, NLP & LLM/GenAI/Agentic AI)
Builds
Production-ready ML/AI solutions, RAG/agent workflows, and evaluation frameworks for business applications.
Domain
Enterprise technology consulting, Artificial Intelligence, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Applied ML/AI, LLMs and agentic systems, NLP techniques, Python (expert), Distributed computing, Cloud platforms, Deep learning fundamentals, Problem framing and method selection
Preferred skills
Graph algorithms, Business applications (churn, profiling, recommendation), Agentic AI Frameworks
Technologies
PyTorch, NumPy, pandas, scikit-learn, Spark, Snowflake, BigQuery, AWS, Azure, GCP, LangChain, LangGraph, Deep-Agents, Vector databases, BERT
Responsibilities
Partner with stakeholders to frame analytical problems and align on success metrics; Develop methodologies across supervised/unsupervised learning and Generative/Agentic AI; Apply LLMs and agentic systems pragmatically, driving adoption and scaling winners into production; Deliver production-ready solutions from data cleaning through deployment; Communicate complex technical concepts to diverse audiences and influence leaders.
Seniority
Senior, hands-on IC