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 the research, development, and deployment of models for use cases such as malicious behavior Design robust experiments and establish evaluation pipelines for model reliability, accuracy, and Bridge research and production: translate research insights into scalable APIs, tools, or workflows Explore new techniques (LLMs, embeddings models, RAG, agentic workflows) to enhance developer and 🎯 Requirements 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI Computer Science or equivalent technical degree strongly preferred Strong Python skills and practical experience with data and AI libraries/platforms such as Experience building and shipping ML or GenAI applications—from early prototype through usable Deep familiarity with modern LLM ecosystems, including OpenAI, Anthropic/Claude, Hugging Face, and Ability to select models and design effective LLM applications using prompting, context management 🎁 Benefits Access to cutting-edge AI & Data Science work within a mature data engineering environment. Collaborative, cross-functional team with exposure to product, security, and research stakeholders. Commitment to responsible AI practices and data governance.