Data Scientist

Location: North Sydney NSW 2060

*** Mention DataYoshi when applying ***

Company Description

About Nine

Nine’s strategy is to create great content, distribute it broadly and engage audiences and advertisers. As the home of Australia’s most trusted and loved brands spanning News, Sport, Lifestyle, and Entertainment, we pride ourselves on creating the best content, accessed by consumers when and how they want, while celebrating our ability to give the shared experiences to audiences, the ones which connect us together. Living at the intersection of Australia’s best content, conversation and culture, Nine is where Australia connects.

Our business operates in the following four divisions: Australian Community Media, Printing and Stuff; Publishing (including, Metro Mastheads, Nine Digital and Events), Stan, and Television. Nine’s assets include the Nine Network, major mastheads such as The Sydney Morning Herald, The Age and Australian Financial Review, digital properties such as, 9Honey, Pedestrian.TV, and CarAdvice, subscription video platform Stan and majority investments in Domain and Macquarie Media.

Job Description

Technical Delivery

  • Translate business questions into analytical requirements and identifies analytical techniques (including machine learning) to deliver business insights and solutions
  • Perform data ETL as required to deliver modelling across a range of varied/large data sets
  • Identify and develop relevant data inputs from both internal and external sources
  • Develop data science models using appropriate tools, languages and packages to address the identified objectives according to team coding and modelling standards
  • Refine model parameters and validate models to deliver best possible model performance

Business Alignment

  • Partner with business stakeholders to develop an understanding of the business context, needs and problems relating to assigned project areas
  • Deliver insights from modelling and analysis to drive business decisions and outcomes
  • Effectively communicate findings and analytical solutions to the team and business using easy to understand terms and language


  • Collaborate with other experts in the team and across Nine (business, technical and IT) to deliver high quality solutions with leverage team capabilities
  • Contribute to improved visibility and awareness of the team to enhance analytical capability across Nine



  • Degree in Mathematics, Science, Statistics and/or Machine Learning
  • Ability to decompose and solve complex problems
  • Strong ability in Python
  • Ability to write SQL and work with relational databases
  • Machine learning techniques including predictive modelling, time-series analysis, and time-series forecasting
  • Strong understanding of statistics, regression and experimental design
  • Ability to use visualisation tools (e.g. Tableau, Plotly)
  • Willingness to continue to learn and develop understanding of advanced analytical technologies and approaches


  • Experience with delivering time-series forecast models
  • Other applied mathematics (e.g. Optimisation, Linear programming)
  • Experience using Spark, Hadoop or other distributed computing frameworks
  • Experience with HPE Ezmeral Data Fabric
  • Able to work via command line on Ubuntu OS
  • Industry experience in Media

*** Mention DataYoshi when applying ***

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