Description
Tiger Analytics is hiring a Principal Data Scientist to architect and produce scalable machine learning and AI solutions for advanced analytics consulting. The role leads ML system design, cloud-native model training, validation, deployment, monitoring, and MLOps practices across AWS, GCP, or Azure, while collaborating with data scientists, engineers, product teams, and business stakeholders. Candidates need a relevant master's or doctoral degree, typically 10+ years of advanced analytics experience, at least 4 years of Python programming, at least 7 years of productionizing and maintaining models, and strong expertise in Python, ML libraries, MLOps tools, data engineering, APIs, CI/CD, and model observability.
