Contract Data Scientist

Key Responsibilities: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD pipelines to streamline deployment Operate in a cloud environment (AWS preferred) Contribute to the development of a data-driven web application using JavaScript/TypeScript and Next.js Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker , CI/CD workflows , and AWS Comfortable working with JavaScript , Next.js , and ideally TypeScript Ability to thrive in a consulting or agency environment with changing client demands Strong ownership of delivery and adaptability to fast-moving projects Desirable: Experience in retail analytics Prior work in cross-functional teams building web-based data products Exposure to start-up style or agile project settings