Staff Data Scientist

Posted An Hour Ago
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2 Locations
Hybrid
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software
At Xero, we’re here to help you supercharge your business.
The Role
Lead end-to-end data science roadmaps for a product domain: define metrics, drive experimentation, productionise decision models, shape AI-driven analytics, build reusable assets, mentor data scientists, and advise senior stakeholders.
Summary Generated by Built In
The role

As 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 team

Product 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 within a design led organisation, the team brings a strong customer and product orientation to everything it builds.

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 own workflows

Where and how you can work

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 our 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
  • You bring strong SQL and Python skills alongside a solid statistical foundation, including experimentation and causal methods

  • Working across Snowflake, dbt and Git feels natural to you, and you're comfortable with CI/CD practices for code

  • You've productionised models or decision systems alongside engineering teams, whether that's scoring, risk, ranking or propensity work

  • Influencing senior partners across Product, Engineering and Design comes naturally, and you know how to align people on decision criteria and trade-offs

  • Mentoring and coaching other data scientists is something you genuinely enjoy, not just a box to tick

  • A tertiary qualification in a quantitative discipline, along with significant experience in data science or applied science, rounds out your background

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Skills Required

  • Strong SQL skills
  • Strong Python skills
  • Solid statistical foundation including experimentation and causal methods
  • Experience working with Snowflake
  • Experience working with dbt
  • Experience with Git
  • Comfortable with CI/CD practices for code
  • Experience productionising models or decision systems (scoring, risk, ranking, propensity)
  • Ability to influence senior partners across Product, Engineering and Design
  • Experience mentoring and coaching other data scientists
  • Tertiary qualification in a quantitative discipline
  • Significant experience in data science or applied science
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The Company
HQ: Wellington
4,500 Employees
Year Founded: 2006

What We Do

Xero is small business accounting software that provides a platform on which businesses can build a fully integrated solution. It’s designed to make life better for people in small business, their advisors, and communities around the world. Xero minimises tedious admin by automating routine tasks, delivers valuable insights when needed, and brings together business data, trusted advisors, and powerful apps in one intuitive platform. By alleviating pain points, Xero empowers small business owners to supercharge their business, simplifying the complex and freeing up time from manual admin so they can focus on what really matters to build the business they’ve always envisaged.

Why Work With Us

Xero is a human-centric organization where you’ll have a tangible impact on the success of small businesses and their communities, globally. Our team of energised, forward-thinkers work to make life better for our customers and each other every day. We’re also always committed to supporting you with a flexible environment.

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Xero Teams

Xero Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Join us from home or at one of our beautiful workspaces. Xero has offices in Australia, New Zealand, United Kingdom, United States, Canada, Singapore, and South Africa.

Typical time on-site: Flexible
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HQWellington, NZ
Auckland, NZ
Brisbane
Calgary
Denver, CO
Melbourne (HQ)
London, GB
Napier, NZ
New York, NY
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San Mateo, CA
Singapore
Sydney, NSW
Toronto, Ontario
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