At a Glance
- Tasks: Lead data science projects, define success metrics, and drive AI experimentation.
- Company: Join Xero, a design-led organisation transforming analytics with AI.
- Benefits: Flexible hybrid work model, modern office spaces, and collaborative culture.
- Other info: Opportunity to influence senior stakeholders and build reusable analytical assets.
- Why this job: Make a real impact by shaping AI-driven analytics and mentoring future data scientists.
- Qualifications: Strong SQL and Python skills, experience in data science, and a passion for mentoring.
The predicted salary is between 81000 - 99000 $ per year.
The role involves owning 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 will 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 complex and ambiguous problems.
Beyond your own domain, you will build reusable analytical assets that get adopted across pods, mentor data scientists, and help shape the standards and tooling for the wider data science community at Xero. This role is for someone who wants their thinking to extend well past their own desk.
The Product Data Science & Engineering team partners closely with Xero's product and technology functions, driving decision making, experimentation, and measurement. The team is transitioning from a service-oriented analytics group into a product-building function, increasingly responsible for designing and productionising AI-driven analytics experiences, including agentic solutions.
The team is currently working on:
- Defining measurement, evaluation metrics, and guardrails for AI-powered product features and agentic experiences
- Productionising decision, ranking, or risk models in partnership with engineering
- Building and extending reusable analytical assets, including canonical metrics and experimentation tooling
- Establishing patterns for using AI and automation to accelerate the team's workflows
Xero 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 modern 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 for:
- Strong SQL and Python skills alongside a solid statistical foundation, including experimentation and causal methods
- Comfortable working across Snowflake, dbt, and Git, with familiarity in CI/CD practices for code
- Experience in productionising models or decision systems alongside engineering teams, whether that's scoring, risk, ranking, or propensity work
- Ability to influence senior partners across Product, Engineering, and Design, aligning people on decision criteria and trade-offs
- Enjoyment in mentoring and coaching other data scientists
- A tertiary qualification in a quantitative discipline, along with significant experience in data science or applied science
Staff Data Scientist in Sydney employer: Xero
Xero is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Melbourne or Sydney. As a Senior Mobile Engineer, you'll enjoy meaningful ownership of projects, opportunities for professional growth through mentoring, and the chance to influence the development of cutting-edge mobile applications that empower small businesses globally. With a strong focus on engineering excellence and a commitment to leveraging AI in workflows, Xero provides a supportive environment where your contributions have a real-world impact.
