MBIE's goal is to create a resilient and high-performing economy that delivers real and ongoing quality of life for all New Zealanders.
Discover a career with purpose at MBIE:
Apply your data science and statistical modelling skills to identity management at Immigration New Zealand.
Work in the rewarding and fascinating subject areas of biometrics and identity matching.
Permanent fulltime position | based in Wellington or Christchurch however will consider other locations for the right candidate.
Salary range $101,911 - $121,196 with KiwiSaver and wellness benefits.
Tenei turanga - About the Role: The Immigration Risk and Border branch within Immigration New Zealand provides up-to-date intelligence and information to advise sound strategic and operational decision making at all levels across the immigration system.
We are looking for a Data Scientist to join our Identity team.
The Data Scientist will: Test, tune, monitor, develop, and optimise the behaviour of the identity matching engines.
Identify business problems and/or business risks and develop innovative solutions for implementation.
Provide complex statistical analysis of and recommendations for the maintenance, upgrade or improvement of biometric or biographic matching systems.
Help monitor the stability of Identity systems and troubleshoot issues with the system as they arise.
Support the quality assurance process in Identity.
Advance forecasting of identity resolution volumes.
Nga pukenga me nga wheako e hiahiatia ana - Skills and Experience Required: To be successful in this role, you will need to be able to demonstrate that you have experience in, or have the qualities that would enable you to successfully perform, the following tasks:
Competent in the use of data querying, analytical and modelling tools both in SQL and R.
Experienced in using advanced analytic methods to conduct complex analyses of large amounts of data.
Experienced in working across multiple analysis disciplines and processes.
Experienced in using analytics modelling or statistical analysis in a risk and/or operational research environment.
Capable of translating complex and technical information into information easily understood by non-technical staff.
Professionally active and aware of recent developments in methodologies and practices.
Versed or interested in record management, biographic matching, biometric matching, identification sciences and identity management.
Tertiary qualification to at least master's level, preferably in statistics, data science, econometrics, computer science, operations research, quantitative social-behavioural science, or a similar discipline or equivalent work experience.
Able to build productive working relationships.
Able to understand and process new information quickly.
Have excellent organisational and time management skills.
To apply for this position, applicants must be a New Zealand citizen or hold a New Zealand Permanent resident visa.
Etahi korero mo MBIE - About MBIE: MBIE's goal is to create a resilient and high-performing economy that delivers real and ongoing quality of life for all New Zealanders. We do this by working with others to create an environment that supports businesses to be more productive and internationally competitive, enables all New Zealanders to participate in the economy through improved job opportunities and by working to ensure quality housing is more affordable.
People are at the heart of our mahi, our way of working is guided by our values which shape our behaviours:
Mahi Tahi – Better Together
Maia – Bold and brave
Pae Kahurangi – Build our Future
Pono Me Te Tika – Own It
Our aspirations are echoed in our Maori identity – Hikina Whakatutuki – which broadly means 'lifting to make successful'.
Me pehea te tono - How to Apply: Please note that MBIE is currently undergoing a set of significant changes which have resulted in a number of our kaimahi being considered affected. As per our usual policy, any staff affected by change are considered first for vacancies if appropriate. This may result in delays to recruitment for non-affected staff, or in recruitment being stopped prior to shortlisting or interview stage.
Click here to view a position description. All applications must be submitted via our online process and include a Cover Letter and CV outlining your interest and suitability for the role.
Email Nik Sharma at ****** quoting ref MBIE/14581 if you have any further questions.
Applications close on Tuesday, 5 November 2024.
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