/#jobs
#Platform#About Us#Employers#AI Jobs
Get Started
Melbourne
2 weeks ago
Staff Data Scientist - Product logo

Staff Data Scientist - Product

Xero

Melbourne
2 weeks ago
Apply

Staff Data Scientist - Product

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. You'll lead measurement strategy, shape AI applications, and mentor data scientists. The role requires strong SQL and Python skills, statistical foundation, and experience productionising models.

AI-enabledHybridFull-timePrincipalSQLPython

Staff Data Scientist - Product

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. You'll lead measurement strategy, shape AI applications, and mentor data scientists. The role requires strong SQL and Python skills, statistical foundation, and experience productionising models.

Apply
AI-enabledHybridFull-timePrincipalSQL

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid: flexible hybrid working model, office days and collaborative 'boost days'

Employment Type

Full-time

Experience Level

Staff

Core Qualifications

Technical (Must-have)
SQLPythonStatisticsExperimentationCausal InferenceSnowflakedbtGitCI/CDMachine LearningModel ProductionisationScoring ModelsRisk ModelsRanking ModelsPropensity Models
Soft Skills
InfluencingMentoringCoachingCommunicationCollaborationProblem SolvingLeadership

Key Responsibilities

  • •Own end-to-end science roadmaps for a product domain
  • •Partner with Product, Engineering and Design to frame problems and define success metrics
  • •Drive experimentation from discovery through to decision and iteration
  • •Lead measurement strategy for your area
  • •Shape how AI is applied to analytics and agentic use cases
  • •Act as trusted advisor to senior stakeholders on complex and ambiguous problems
  • •Build reusable analytical assets adopted across pods
  • •Mentor data scientists
  • •Help shape standards and tooling for the wider data science community
  • •Define measurement, evaluation metrics and guardrails for AI powered product features and agentic experiences
  • •Productionise decision, ranking or risk models in partnership with engineering
  • •Build and extend reusable analytical assets, including canonical metrics and experimentation tooling
  • •Establish patterns for using AI and automation to accelerate team workflows
Data ScienceProductAIExperimentationSQLPythonSnowflakedbtHybridStaff
/#jobs

Your gateway to a successful career. Show your growth. Be ready for your next step. Capture and seize the best opportunities.

  • Data
  • FAQ
  • Articles
  • AI Jobs
  • Platform
  • Employers
  • About Us
  • Legal
© 2026/#jobsAll rights reserved.

For queries/support, email jobs.support@slashhash.ai