8+ years in Data Science or ML Engineering at high-growth SaaS companies, building and deploying impactful production systems. Holds a degree in Computer Science, Statistics, or a related technical field. Hands-on technical leader with experience mentoring, coaching, and hiring data and ML talent. Fluent across the modern data science stack — data pipelines, modeling, deployment, and monitoring. Proven experience with time series modeling, forecasting, and anomaly detection systems. Skilled in Python and comfortable with cloud ML tools like SageMaker, Bedrock, and related infrastructure. Experience integrating GenAI/LLM systems into production use cases. Excellent communicator — able to explain technical concepts clearly to non-technical and executive stakeholders. Pragmatic and impact-driven — prioritizes simplicity, customer value, and speed over complexity.