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We are looking for a senior Data Science Practitioner to lead the charge in designing and delivering AI/ML-based decision-making frameworks. You won't just build models; you will be the architect of business outcomes, translating complex data into measurable value. As a subject matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve.
Job Responsibility:
Architect Decision Systems: Design innovative AI/ML models that don't just predict-they drive strategic business decisions
Lead & Mentor: Act as the technical North Star for the team, making key decisions and guiding junior scientists in best practices
Bridge the Gap: Collaborate with software engineering and product teams to integrate models into the SDLC and existing workflows
Measure Impact: Define and justify the ROI of AI solutions to stakeholders through rigorous evaluation frameworks
Requirements:
Advanced Mastery: Data Science & Machine Learning
Intermediate+ proficiency in Amazon SageMaker
Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP)
Solid understanding of the Software Development Life Cycle (SDLC)