intermediate data scientist in Auckland

sally xu, randstad
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sally xu, randstad
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job description

The company:

An exciting progressive Kiwi start up that provides world class data services to help their clients leverage the power of data; They collect data sources into one central place which helps businesses to better understand their market and assist them in making diligent and important decisions. They have extensive plans to grow, improve and enhance their customer experience and is now in search for an outstanding Data Scientist to be part of this exciting journey.

What you’ll be doing?

Research and development on machine learning algorithms, statistical modelling techniques, time series models, and predictive modelling to enhance and enrich their data intelligence.
  • Building small- scale prototype ML solutions and bring this to production in large- scale ML solutions
  • Choosing the applicable models matching the requirements and data
  • Improve and enhance current ranking solutions
  • Proactively enhance and improve data quality. Automate some of the current
  • Work with data and development team to improve data quality and deliver data

What we want from you?

  • Atleast 1-2 years experience in a Data Science role
  • Essential skills include advanced machine learning, advanced statistical modelling time series modelling, analytical programming
  • Experience bringing ML solution to production
  • Mechanical knowledge of algorithms
  • Essential are programming skills in both Python and “R”
  • Data Science R&D experince would be beneficial

What is the team like?

You will be part of a collaborative and passionate team who enjoys delivering quality robust solutions. You will work alongside like minded data specialists who likes to take initiatives and enjoys a challenge.

What are the benefits?

  • They offer flexible working hours so you don’t have to sit in traffic!
  • Great team of data specialist and a cool, modern office to work in.
  • Competitive salary package

Open to overseas candidates

How to apply:

If you think you have what it takes then we want to hear from you!

Feel free to pick up the phone and give me a call for a confidential discussion on 09 336 0390.

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.


Data Science, Cutting edge Technologies, Machine Learning, Natural Language Processing

educational requirements

Associate Degree/Diploma