Mathematics, Statistics & Information Sciences (Science & Technology)
We have an exciting opportunity for a Senior Data Scientist to join our Data Science Practice, which enables ESR to push today's boundaries so we can see beyond the horizon into the future and drive action that solves some of the complex problems New Zealand is facing in terms of the environment, health, and forensics.
Reporting to our Data Scientist Lead, you'll deliver leading edge data science solutions, using innovative techniques, including agent-based modelling. You'll build national and international collaborations as well as lead and manage key research projects.
In this role you will be involved in:
Leading and project managing data science projects, ensuring robust and ethical analysis.
Developing and maintaining strong relationships and productive partnerships with key external stakeholders, clients, research organisations and data science communities that advance ESR's interest.
Participating in conferences and forums relating to research development activities, including innovation sprints.
Partnering with our science groups to develop and implement research ideas.
Communicating research insights within the organisation and with external stakeholders, identifying further opportunities to exploit data assets and models.
Contributing to developing the infrastructure, tooling and libraries for data science workflows including model development and pathways to production.
You'll have the opportunity to experiment with data, including mining, analysis and modelling using state-of-the-art AI methods. You'll push boundaries on languages, tools and technologies, including mobile, geospatial and edge computing.
We are flexible on working location across Aotearoa New Zealand, including Auckland, Wellington or Christchurch.
Kia angitu koe | About you
To be successful in this role you will have:
A PhD degree in Computer Science or a related field, along with a record of research publications in scientific journals.
Experience with statistics, mathematics, agent-based modelling, deep learning frameworks, machine learning, and other data science methods.
Advanced knowledge with leading scripting languages, including R, Python and data query languages, preferably SQL.
Proficiency with data visualisation tools.
Excellent project management, problem solving and troubleshooting skills.
Excellent oral and written communication skills, with the ability to prepare and present scientific information (written or verbal) to a range of audiences.
The ability to foster and develop external stakeholder and customer relationships for collaboration opportunities.
Five weeks annual leave and 15 days sick leave,
Annual volunteer day to support an organisation or issue you care about in the community.
Flexible working options to support everyone's lifestyle in balance with their work and life commitments.
Discounted healthcare insurance and access to special retail discounts.
Access to Employee Assistance Programme (EAP), a confidential and free counselling service.
Since 1992, ESR has been dedicated to safeguarding the health and wellbeing of New Zealanders and the environment. With locations in Auckland, Christchurch, and Wellington (Kenepuru and Wallaceville), we use world-leading science to monitor disease, test food and products, safeguard our water, and support the justice sector.
Through collaboration with experts, communities and iwi, we aim to address crucial issues for a better future in Aotearoa. Our commitment to sustainability is reflected in our Toitu Carbonreduce Certification. As an accredited Living Wage employer, we prioritise our employees' wellbeing, providing a supportive environment for their growth and development.
Applications close at 12:00am Friday, 25 October 2024.
Click apply to submit your application. Please ensure you upload a cover letter and CV, outlining your interest and relevant skills for this opportunity.
We will be in touch once advertising closes and applications have been reviewed.
Report this job advert Don't provide your bank or credit card details when applying for jobs.
To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory.
#J-18808-Ljbffr