The roleAs a Staff Data Scientist in the Product Data Science & Engineering team, you'll own end to end science roadmaps for a product domain, partnering with Product, Engineering and Design to frame problems, define success metrics and drive experimentation from discovery through to decision and iteration.
You'll lead the measurement strategy for your area, shape how AI is applied to analytics and agentic use cases, and act as a trusted advisor to senior stakeholders on the most complex and ambiguous problems in your space.
Beyond your own domain, you'll build reusable analytical assets that get adopted across pods, mentor data scientists coming up around you, and help shape the standards and tooling for the wider data science community at Xero.
This is a role for someone who wants their thinking to extend well past their own desk.The teamProduct Data Science & Engineering partners closely with Product, Engineering and Design across Xero's product and technology functions, driving decision making, experimentation and measurement.
The team is moving from a service oriented analytics group into a product building function, increasingly responsible for designing and productionising AI driven analytics experiences, including agentic solutions.
Sitting in a design led organisation, the team brings a strong customer and product orientation to everything it builds.Current focus areasThe team is currently working onDefining measurement,



evaluation metrics and guardrails for AI powered product features and agentic experiencesProductionising decision, ranking or risk models in partnership with engineeringBuilding and extending reusable analytical assets, including canonical metrics and experimentation toolingEstablishing patterns for using AI and automation to accelerate the team's own workflowsWhere and how you can workXero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work.
You will have access to our up-to-date office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.Here are some of the things we are looking forYou bring strong SQL and Python skills alongside a solid statistical foundation, including experimentation and causal methodsWorking across Snowflake, dbt and Git feels natural to you, and you're comfortable with CI/CD practices for codeYou've productionised models or decision systems alongside engineering teams, whether that's scoring, risk, ranking or propensity workInfluencing senior partners across Product, Engineering and Design comes naturally, and you know how to align people on decision criteria and trade-offsMentoring and coaching other data scientists is something you genuinely enjoy, not just a box to tickA tertiary qualification in a quantitative discipline, along with significant experience in data science or applied science, rounds out your background
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📌 Staff Data Scientist (Melbourne)
🏢 Doist
📍 Melbourne