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