FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data science initiatives, including developing measurement strategies and applying AI to analytics. Proficient in SQL, Python, and statistical methods, with a strong focus on mentoring and collaboration across product and engineering teams.
Highest-signal resume keywords
SQLPythonStatistical FoundationData Science MentoringCI/CD Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonStatistical FoundationExperimentation MethodsCausal Methods
Soft Skills
Influencing Senior PartnersMentoringCoaching
Tools & Technologies
SnowflakeDbtGit
Certifications & Qualifications
Tertiary Qualification in Quantitative Discipline
Industry Keywords
Data ScienceMeasurement StrategyAI AnalyticsAnalytical AssetsEnd to End Science Roadmaps
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- own end to end science roadmaps for a product domain
- partner with Product, Engineering and Design to frame problems, define success metrics and drive experimentation
- lead the measurement strategy for your area
- shape how AI is applied to analytics and agentic use cases
- act as a trusted advisor to senior stakeholders on complex and ambiguous problems
- build reusable analytical assets that get adopted across pods
- mentor data scientists and help shape standards and tooling for the data science community at Xero
Requirements
What you’ll need- strong SQL and Python skills alongside a solid statistical foundation, including experimentation and causal methods
- working across Snowflake, dbt and Git feels natural
- comfortable with CI/CD practices for code
- productionised models or decision systems alongside engineering teams
- influencing senior partners across Product, Engineering and Design comes naturally
- mentoring and coaching other data scientists
- a tertiary qualification in a quantitative discipline, along with significant experience in data science or applied science
Benefits
Comp & perks- flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work
- access to modern office spaces
