Contract Data Scientist

Key Responsibilities:Deliver end-to-end data science solutions in a consultancy environmentBuild and deploy custom forecasting models (e.g., time series, XGBoost, deep learning)Implement reinforcement learning techniques for dynamic predictionApply causal inference and graph AI methods to uncover complex relationshipsDevelop and containerize models using DockerWork within modern CI/CD pipelines to streamline deploymentOperate in a cloud environment (AWS preferred)Contribute to the development of a data-driven web application using JavaScript/TypeScript and Next.jsRequired Skills & Experience:Strong experience as a Full Stack Data ScientistDeep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning)Practical knowledge of Causal AI and Graph AI methodologiesProficiency in Python for data science and model developmentExperience with Docker, CI/CD workflows, and AWSComfortable working with JavaScript, Next.js, and ideally TypeScriptAbility to thrive in a consulting or agency environment with changing client demandsStrong ownership of delivery and adaptability to fast-moving projectsDesirable:Experience in retail analyticsPrior work in cross-functional teams building web-based data productsExposure to start-up style or agile project settings