Senior Data Scientist (or Machine Learning Engineer) - Wellington or Work from home - New Zealand - 44200



JOB DESCRIPTION

Job #: 44200
Title: Senior Data Scientist (or Machine Learning Engineer) - Wellington or Work from home
Job Location: , - New Zealand
Employment Type:
Salary: contact recruiter for details
Employer Will Recruit From: Nationwide
Relocation Paid?: NO

WHY IS THIS A GREAT OPPORTUNITY?


Why join us? Aside from arguably the best views in Wellington from the top of the Botanic Garden, we enjoy achieving, we appreciate creativity and we recognise everyone's unique skills and qualities. If you are not in Wellington, there is the option to work from home. The Forecast Research and Development team is a diverse group of scientists. We all multi-task, supporting a range of activities from implementation of an idea in prototypes, to high-quality software development of operational applications, to agile support of customer requests and support of operations. We look forward to hearing from you!

JOB DESCRIPTION

THE COMPANY

Do you seek a career as a scientist? Are you curious about the weather? Excited about using science, mathematics and computing to predict the future? Love immersing yourself in challenging scientific computing problems? Then here is your chance to put this all together.

Besides being New Zealand's National Meteorological Service, it's a successful global weather company. The client is a technology-based organisation employing about 300 staff and headquartered in Wellington, New Zealand.

New Zealand's meteorological challenges are unique. Our lovely island country is narrow and mountainous, situated approximately halfway between the Equator and the South Pole. A lot of the time, New Zealand's weather results from the passage of mid-latitude weather systems. The rugged terrain influences the atmospheric flow; there can be large west-east differences in rainfall, temperature, etc., over short distances; likewise, the hills hugely influence the winds. In the summer months, cyclones from the South Pacific tropics can pass close by. And in the winter, we occasionally experience polar outbreaks. As far as the weather is concerned, there is never a dull moment.

We have a great opportunity in our Forecasting Research and Development (FR&D) team for someone experienced in machine learning / deep learning and statistical analysis to lead our program of work in AI and statistical post processing.

If you are excited about participating in the meteorological application of statistical and machine/deep learning methods and the development of operational systems, then this might be you.

 

HOW TO APPLY

If you think you have the above qualities, are looking for a new challenge, and believe you have what it takes to drive a team to succeed consistently, please forward your resume, along with a cover letter, by clicking on the apply button below.

QUALIFICATIONS

We are seeking a Senior Data Scientist having:

·        Postgraduate degree in Computer Science, Artificial Intelligence, Machine Learning, mathematics, or related fields

·        5 years+ experience in machine learning / deep learning and/or statistical techniques

·        Experience with big data, especially in Earth sciences context

·        Familiarity with Linux, Amazon Web Services, high-performance computing; or, other experience with running operational systems

·        Strong computer science fundamentals including knowledge of data structure and algorithms

·        Solid software development skills (e.g. in Python, Julia) and experience in ML/DL libraries (e.g., Scikit-Learn, Flux.jl, TensorFlow)

·        Desire to lead other Research Scientists

·        Ability to communicate technical ideas to non-scientific audiences

·        Ability to plan, organise, prioritise, manage, and track numerous concurrent activities to successful outcomes

Education:
University - PhD

APPLY NOW FOR THIS JOB

Our recruiters are currently seeking to fill this position and hundreds like this in our network. If you are a match you'll be contacted with additional details.

We value your privacy and will never share your information with any employer without your consent.

Send your profile and resume to the recruiter who posted this job. You may include a cover letter to introduce yourself.

Cover Letter Text:

5,000 character limit