Data Scientist

📋 Description Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy Act as an internal consultant across product, engineering, security, and research teams: scope Lead research, development, and deployment of models for malicious behavior detection, anomaly Design robust experiments and evaluation pipelines for model reliability and business impact. Bridge research and production: translate insights into scalable APIs, tools, or workflows. Explore new techniques (LLMs, embeddings, RAG, agentic workflows) to enhance developer and security 🎯 Requirements 5+ years of hands-on experience in applied data science, ML, AI engineering, or AI research. CS degree or equivalent strongly preferred. Strong Python skills and practical experience with Databricks, LLM APIs, scikit-learn. Experience building and shipping ML/GenAI applications end-to-end. Deep familiarity with modern LLM ecosystems (OpenAI, Anthropic/Claude, Hugging Face, open-weight Ability to design effective LLM applications using prompting, context management, retrieval, and 🎁 Benefits Perks and inclusive culture; flexible working practices.