Lead Data Scientist, Code Modules & Platforms

CGR Services; Wellington; On-site; NZD 120,000 - 162,000; Full time

Benefits offered by this job

37.5 hours per week

Annual flu vaccines

Employee Assistance Programme (EAP)

Job summary

Stats NZ is seeking an experienced Principal Data Scientist to shape the future of code modules for integrated data research and statistical production in New Zealand. You will lead design, development, and stewardship, applying advanced data science techniques, governance, and platform transitions to ensure reusable, high-quality assets.

You will mentor colleagues, engage with policy stakeholders, and drive best-practice data product development across the organisation, contributing to a

Qualifications

• A tertiary qualification in Data Science, Statistics, Mathematics, Econometrics, Computer Science, Operations Research, or a related field.
• Extensive senior experience in data science, statistical analysis, advanced analytics, machine learning, or research leadership in complex environments.
• Demonstrated ability to create reusable, well-documented code and analytical assets in integrated data environments.

Responsibilities

• Lead design, development, stewardship, and evolution of code modules for integrated data research and statistics.
• Mentor and coach team members to adopt best practices in data product development, documentation, and quality management.
• Collaborate with internal/external stakeholders to set standards and drive platform transitions (e.g., Databricks).
• Promote governance and sustainable stewardship across the module library.

Skills

Data science

Senior data science

SQL

R

Data integration

Code development

Mentoring

Communication

Te Tiriti/Tikanga knowledge

Stakeholder engagement

Education

Postgraduate qualifications encouraged

Tools

Databricks

Job description

Stats NZ is seeking an experienced Principal Data Scientist to shape the future of code modules for integrated data research and statistical production in New Zealand. You will lead design, development, and stewardship, applying advanced data science techniques, governance, and platform transitions to ensure reusable, high-quality assets.

You will mentor colleagues, engage with policy stakeholders, and drive best-practice data product development across the organisation, contributing to a