Full Stack Data Scientist

What we're looking for Ideal 7+ years in applied data science, statistical modelling or quantitative research, with a track record of shipping models that influenced real decisions, not just delivered analysis. Builder mentality: you write production-quality Python or R, you care about getting things into the hands of decision-makers, and you know when a workable deployed model beats a perfect one still in development. You move fast without creating problems you cannot see. Strong statistical modelling: regression, survival and hazard models, Bayesian inference, time series. Comfortable with data platforms on AWS or GCP with an ability to deploy and scale batch jobs or always-on models. Causal inference expertise: difference-in-differences, synthetic control, interrupted time series, matching methods. Solid SQL and hands-on experience with a cloud data warehouse (BigQuery preferred). The ability to communicate with non-technical stakeholders clearly enough that they can act on your outputs. Explaining the model is as important as building it. AI-native ways of working: you use AI agents and tools as a genuine accelerator in your workflow, for analysis, code generation and data exploration. You evaluate model outputs critically, know when to push back, and are actively extending what you can do independently through agentic approaches. This is a core expectation of

the role, not an optional extra. A

bonus Experience in marketing analytics: customer LTV, media mix modelling or channel attribution in an e-commerce or subscription context. MLOps experience: model versioning, deployment pipelines, monitoring and retraining workflows. Familiarity with the GCP ecosystem (BigQuery, Vertex AI, Cloud Run). Experience presenting to senior commercial stakeholders or embedding models into business planning cycles. Background in e-commerce, subscription or retail where customer behaviour data is central to the business. Where you'll work This is a Sydney-based role. You will closely collaborate in-person with the Customer team. Our office is above Wynyard station, it's pet-friendly (of course), and we work flexibly, a mix of office and home, with

the team typically in the office 3-4 A few good things Heaps of development opportunities - lunch & learns, secondments & unlimited learning courses via Go1 Flexible working environment Up to 50% employee discount Product sample giveaways Pawrental leave and wellbeing leave Volunteer days for the causes you care about Fitness corporate partnership Why you'll want in Looking after pets, and the pet parents who love them, is what gets us out of bed. That energy carries into

how we work, and into what your days here would feel like. You'll own your patch and have the room to act on it. We move fast and decide fast, and we'd rather test an idea and learn from it than sit on it. You'll have rich, real-time data at your fingertips to back your thinking, and the freedom to chase an opportunity the moment you spot one. The best idea wins, wherever it comes from. What holds it together is what we stand for: We're better together We operate with humble hearts and hungry minds Pets matter, so pets and pet parents always have a seat at our table We're instinctively curious. Always Everyone (and their pets) welcome We're better when we don't all think the same. Different backgrounds, perspectives and experiences make our work sharper and our days more interesting, so whoever you are, if this role excites you we'd love to hear from you, even if you don't tick every box. And if you need anything adjusted in the process to do your best, just say the word, we're happy to help.

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