Posted on: 7/02/2018

Salary: AUD 140000.00 -> 180000.00 Per year

Job type: Permanent

 
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Data Scientist
$150K-$180K+ Super
Surrey Hills

Role:

You will be responsible for leveraging the full life cycle of large data sets to extract and analyse and for developing in-depth predictive models in order to advise senior stakeholders. A unique opportunity to get 'hands on' with a large data set to uncover trends, opportunities and risks.

  • Employ quantitative techniques such as forecasting, linear regression, machine learning, random forests, generalised boosting and others to develop models and methods to maximise performance that underpins loyalty strategy and tactical execution
  • Develop, manage, manipulate and extract within large data sets and build statistical models, in turn driving innovation and new revenue streams
  • Engage and influence internal and external stakeholders from a variety of different business units, including Marketing, Risk and Digital

About you:

Attitude is a huge part of this role; a collaborative, creative person with leadership, technical and business facing skills is what we are looking for. You must be able to build and develop strong relationships and to drive better outcomes to grow the Data Science team. You are a 'Predictive Modelling Specialist' with a proven track record in driving statistical and advanced analytics techniques, with experience in regression and machine learning modelling using R, Python and SQL.

  • Minimum 7 years commercial experience in a Data Science
  • Worked with R, Python or other open-source tools
  • Expert SQL skills; data modelling skills; and machine learning programming capability
  • Strong written and verbal communication; strong problem solving and presentation skills
  • Degree in Computer Science, Statistics or Mathematics as a base

Like to know more?

To submit your application, for a confidential discussion, please contact Andreas Mead on andreas.mead@hudson.com or call 0282 332 346.

Your interest will be treated in the strictest of confidence.

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Job Reference: BZ/44091

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