Staff Data Scientist/Machine Learning Engineer

📋 Description

• Own end-to-end ML lifecycle from opportunity to production.
• Transform large-scale, multi-modal retail data into meaningful features.
• Build production ML systems with Dagster, Iceberg, and Kubernetes.
• Leverage PyTorch and scikit-learn to deploy models.
• Collaborate with engineers, product, designers, and domain experts.
• Advocate responsible AI and governance in practice.

🎯 Requirements

• Advanced Python and strong SQL for analysis.
• Proven production ML model design, deployment, and monitoring.
• Communicate ML concepts to non-technical stakeholders.
• Responsible AI focus: fairness, explainability.
• Deep expertise in computer vision or LLMs; architectural trade-offs.
• ETL/ELT with dbt and Snowflake; cloud (Azure or GCP); Docker.
• Git/GitHub, code reviews, CI/CD and reproducible workflows.
• Full ML lifecycle: data, features, training, deployment, monitoring.

🎁 Benefits

• Salary NZ$157,500–NZ$197,500 plus equity.
• Employee share scheme.
• Flexible, outcome-focused culture and work-life balance.
• Shorter work weeks: Friday afternoons off.
• Health care through nib; Auror covers premiums.
• Wellness days and annual expert sessions.