Job Description

Applied Data Scientist Location: Sydney, Australia (hybrid) Type: Full-time Compensation: Market rate + ESOPs

Build production AI models that power real workforce decisions, not research prototypes that never ship.

You'll design and deploy forecasting and optimisation models that generate 170,000+ shifts for 20,000+ employees across major franchise networks. This isn't academic research - you're building the decision engine that handles multi-jurisdiction compliance, hourly demand shifts, and operational complexity at enterprise scale.

You'll work with Databricks processing 2.2B+ records, using Python, PyTorch, and MLFlow to build models that actually get deployed. The team uses Claude, Cursor, and agentic workflows daily - AI tools aren't optional, they're expected to multiply your output. You'll ship working solutions rather than perfect ones, with clear 30/60/90 day milestones and measurable KPIs like forecast accuracy and auto-acceptance rates.

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