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.