onsite
Senior Data Scientist - Coles Group
Data Scientist
Lead advanced analytics initiatives for a major Australian retailer, building predictive models and AI solutions using Python, SQL, and cloud platforms to drive customer insights and operational efficiency.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models that improve merchandising, supply‑chain, and customer‑experience outcomes.
- Collaborate with product, engineering, and business stakeholders to translate business problems into data‑driven solutions.
- Lead end‑to‑end data pipelines using Spark and SQL on AWS, ensuring data quality, scalability, and reproducibility.
- Mentor junior data scientists and promote best practices in model validation, monitoring, and governance.
- Stay current with emerging AI techniques and evaluate their applicability to retail challenges.
Requirements
- 5+ years of professional experience in data science or machine learning, preferably in retail or consumer‑goods domains.
- Strong proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and analysis.
- Hands‑on experience building production‑grade models on AWS services (SageMaker, EMR, Lambda) and processing large datasets with Spark.
- Demonstrated ability to communicate complex analytical insights to non‑technical audiences and influence decision‑making.
- Advanced degree (MSc/PhD) in Computer Science, Statistics, Applied Mathematics, or related field is preferred.
Skills
pythonsqlmachine learningdeep learningaws