As Senior Data Scientist, you will provide the deep technical expertise and theoretical rigor required to build TEG's next generation of AI products.
Supporting the Principal and Lead Data Scientists, you will bridge the gap between cutting-edge research and production-ready applications.
Partnering with ML Engineers and Product teams, you will ensure technical excellence through the implementation of production-grade CI/CD, Dockerisation, and robust model monitoring.
Your primary goal is to elevate the team’s technical execution, ensuring every solution is built on a foundation of scientific excellence and scalable engineering.
Requirements
Minimum 5 years experience in delivering high-impact data science projects from inception to production, ideally within a high-volume e-commerce or digital environment.
A tertiary degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science, or a related discipline.
Significant theoretical and practical experience in at least two of our core delivery areas: recommendation engines, pricing optimisation, or customer lifecycle modeling. Proven experience building GenAI and Agentic AI solutions is a plus.
Proven ability to design experimental frameworks and apply statistical methods to validate model performance and business uplift.
Advanced skills in BigQuery and Python, and hands-on experience with GCP and Vertex AI.
Extensive experience working in a collaborative software development environment, including version control (Git) and CI/CD pipelines.
Possess the ability to communicate technical concepts and experimental outcomes to stakeholders at all levels.