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Data Scientist - Customer Analytics - Australia


Language(s):
Only English Required
Job Ref:
23657MP
Company:
Harnham
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Job Description

Senior Data Scientist - Customer Analytics

Australia - Includes Relocation Package

£50,000 - £70,000

THE COMPANY

My client is a leading marketing agency in Australia and they are looking for commercially focused Data Scientists to relocate to their Sydney HQ.

The work of the Data Scientist in this role will be collaborating with a team of extremely talented Data Analysts to implement Machine Learning and other advanced statistical techniques to better understand customer behaviour.

THE ROLE

  • Work closely with Data Analysts and Scientists on complex data drvien projects
  • Build advanced models based upon comprehensive live data sets
  • Help develop and manage projects
  • Define project scope with senior business stakeholders
  • Occasional regional travel with Australia

YOUR SKILLS AND EXPERIENCE

The essential requirements of a Data Scientist in this role are:

  • Commercial Experience deploying ML algorithms
  • Keen to explore management opportunities
  • Willingness to work entirely hands on using ML techniques
  • Academic background in a scientific/quantitative/economic disciplines
  • Multiple years of coding experience in Python/R and use of ML toolkits
  • Ability to work autonomously
  • Strong communicator
  • Experience developing Data Science experiments as well as production level code

THE BENEFITS

  • Flexible working
  • Good holiday package
  • Strong pension package
  • Latest equipment
  • Competitive salary and bonus package
  • Full relocation package

KEYWORDS

Python, SQL, e-commerce, data science, development, management, research, implementation, programming, visualisation, technology, problem solving, R&D, deep learning, deep-learning, recommendation, experience, customer, consulting, Australia

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Salary Indication
£50000 - £70000 per annum + relocation package
Requirements
Australia, ecommerce, marketing, data science, retail, customer, loyalty, data scientist, machine learning


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