Data Scientist – Joint Border Analytics Team

  • Company:
    Govt NZ Jobs
  • Location:
  • Salary:
    negotiable / month
  • Job type:
  • Posted:
    3 days ago
  • Category:
    Govt Jobs
  • Job Type: Ongoing – Full Time
  • Category: Other
  • Location: Auckland
  • Date Advertised: 05-NOV-18
  • Job Reference: MBIE/1363729
  • Job Title: Data Scientist – Joint Border Analytics Team
  • Business Unit:
  • Division:
  • Summary:
  • Bring your data and analysis expertise to contribute to the Joint Border Analytics team
  • Advanced modelling and statistical analysis within a risk/operational environment
  • Permanent opportunity  - Auckland CBD based

About the role:

As the Data Scientist you will play a key role within the Joint Border Analytics (JBA) team.

The JBA team combines technology and expertise from across three border agencies including MBIE, New Zealand Customs Service and the Ministry for Primary Industries to contribute to more accurate risk assessment at the border and smarter targeting across all people, goods and crafts. It is a diverse and innovative team committed to introducing new technology and techniques into border risk assessment.

You will use your technical expertise to:

  • Source and integrate information and data for use in data interrogation techniques such as data mining and advanced analytics
  • Undertake complex statistical and pattern analysis including identification, preparation and oversight of data mining algorithms
  • Collaborate and contribute to joint projects to develop, maintain and continuously improve analytical models
  • Work with internal Immigration teams to investigate ways of integrating learnings from analysis into process and practice

To be successful in this role, you will have:

  • A demonstrable background in the use of specialist data mining and analytics software (preferably SAS or R based) with experience quantifying the benefits of advanced analytics
  • A proven track record and experience in using advanced analytics to conduct complex analyses of large amounts of data or information
  • Experience using analytics modelling in a risk and/or operational environment
  • The ability to translate complex and technical information to be easily understood by non-technical staff
  • A background in delivering tailored data solutions and creating value through the use of advanced modelling and statistical analysis
  • A tertiary qualification (at least to Masters level) preferably in Statistics, Operational Research, Econometrics or similar discipline

In addition to these technical skills, you will be armed with a personable and inquisitive nature; your peers will value your ability to resolve sticky problems while key stakeholders will rely on your guidance and advisory capabilities.

Applicants must hold New Zealand citizenship or permanent residency and have the ability to gain national security clearance.


About Compliance Risk and Intelligence Services:

Compliance Risk and Intelligence Services (CRIS) is a branch within Immigration New Zealand. CRIS is responsible for preventing and responding to immigration related offending and non-compliance. We develop and provide products and services that support quality decisions throughout the organisation, ensuring that risk is managed at the earliest point in the immigration process. We ensure that New Zealand’s Borders are safe and that those individuals and groups that offend against the Immigration Act are dealt with promptly and efficiently.

The Data Scientist position sits within CRIS but reports to the Joint Border Analytics Team on a day-to-day basis.


How to apply:

Click on the APPLY button below. This will take you through to the advertisement on our MBIE Careers Site, here you can download and view the full job description as well as complete the online application, and upload a CV and cover letter. For tracking and evaluation purposes, all applications must be submitted via our on-line advertisement.


If you have any further questions, email Rosie Horsfall at referencing MBIE/1363729.


Applications close at 5pm on Monday 19th November 2018.