Senior Data Scientist - Machine Learning

Job Title: Senior Data Scientist - Machine Learning
Contract Type: Permanent
Location: Sydney CBD, New South Wales
Salary: Negotiable
Reference: 103171_1548049736
Contact Name: Fei Wong
Contact Email:
Job Published: January 21, 2019 16:48

Job Description

  • Opportunity to work with exciting and complex data set
  • Get exposure to Big Data and Machine Learning platform
  • Great career growth in Sydney CBD

Join a team of smart and bright professionals to get their hands dirty with large complex data set. We are on a hunt for an experienced Data scientist with proven track record in building and optimising predictive models to delivering commercial insights to support business strategies.

Key responsibilities:

  • Develop machine learning and statistical data models to support marketing and other relevant functional teams
  • Maintain and improvise data mart to ensure accurate modelling process
  • Create and maintain documentation for all data and project development
  • Develop customer segmentation, behavioural change and variety of marketing data models for product owners
  • Assist in full life cycle of data science projects involving requirements gathering, data modelling, testing and predictive models' optimisation
  • Deliver commercially focussed and actionable insights to key stakeholder

Essential Skills:

  • Minimum 3 years hands-on experience building predictive Machine Learning models
  • Commercial exposure in Machine Learning techniques ie. Classification, Clustering, Random Forests, GLM, xGBoost, Time Series etc.
  • Knowledge in R, SAS, Python and SQL is a must
  • Exposure to Big Data & AWS platform
  • Strong stakeholder engagement skills - both external & internal
  • Excellent verbal and written communication skills
  • Experience working in an Agile environment
  • Strong analytical and problem-solving mindset

If you are ready to get your hands dirty working with large and complex data, APPLY today! For a confidential chat, please call Fei Wong on 02 9270 5292 or email your CV to


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