data scientist in Christchurch

posted
contact
alan diepraam, randstad
job type
permanent
salary
NZ$ 110,000 - NZ$ 130,000 per year

job details

posted
location
christchurch, canterbury
specialism
IT & ICT
job type
permanent
working hours
Full-Time
salary
NZ$ 110,000 - NZ$ 130,000 per year
reference number
90M0441649_1615929334
contact
alan diepraam, randstad
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job description

Here is the career opportunity that you have been looking for - a Data Scientist role with a highly successful eCommerce company. Their Christchurch based operation has grown significantly, and team culture has been key to this.

With a highly supportive environment, there are some seriously talented data science and software engineering professionals to work with. Ideally your background should include:

  • Ph.D or Masters Degree in Data Science
  • Analysing large data-sets, data mining, data analytics
  • Developing end-to-end machine learning systems
  • Agile development, Squads, Kanban, Pair programming
  • Python and SQL, R, Microsoft Excel, Kaggle
  • Commercial software engineering, prior to data science experience

On top of a great work culture, there are a wide range of staff benefits, including:

  • A personal budget for technical training
  • Flexible working arrangements
  • Comprehensive insurances including full mediacal cover
  • Loads of social activities, fully stocked kitchen

In return for your skills, technical talent and great attitude, you will receive a generous salary and company culture that has to be seen to be believed. To find out more, hit the APPLY button now

Please note that due to COVID 19 border restrictions in NZ, no overseas based applications will be considered at this time.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

skills

Data Engineering, Machine-Learning, Python, SQL, Big Data Analytics, Data Mining

responsibilities

analysing data, researching, and developing end-to-end machine-learning systems

educational requirements

Doctorate (PHD)