Principal Data Scientist

• Partner with product leadership to manage the full AI development lifecycle, including requirements gathering, data sourcing, model development, proof-of-concept builds, risk reviews, and production deployment across on-premises and cloud environments.
• Demonstrate strong ownership and self-discipline in managing project activities, maintaining clear communication with leadership, seeking guidance when needed, and proactively escalating risks, blockers, or resource needs.
• Apply automation techniques to streamline manual processes, improve accuracy and productivity, and build reusable, scalable self-service tools and assets.
• Stay up-to-date on emerging AI, machine learning, and cloud technologies, driving innovation by evaluating and integrating new capabilities into workflows and products.

Must Haves: 3-5 years of enterprise Data Science experience Masters Degree (Statistics, Data Science, Economics, etc) Python or R Cloud (AWS is preferred but will take Azure/Google Cloud Platform), * PhD or Masters degree in Statistics, Economics, Data Science, or a related field.

• 3-5 years of experience working with cloud-based machine learning platforms (e.g., AWS, Google Cloud Platform, or Azure), including hands-on experience with tools such as model orchestration, serverless compute, and cloud data services.
• Proficiency in Python (preferred) or R, Spark, and other modern data science tools.
• Working knowledge of Large Language Models (e.g., Llama, Claude, Titan), including experience with LangChain-style frameworks, vector databases, embeddings, and prompt engineering.