Posted on: 2019-01-09

Salary: AUD 150000.00 -> 180000.00 Per year

Job type: Permanent

 
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Lead Data Scientist
$150k-$180k + Super
Sydney CBD

The Role

  • Work closely with key stakeholders to understand business questions and execute data science projects that deliver business solution for partners
  • Develop and maintain state of the art advanced statistical and machine learning models (GLM, Random Forests, GBM, xGBoost, etc) to drive marketing strategies and tactical executions to support campaigns so the business can increase their ROI and also support acquisition of new members.
  • Responsible for the end-to-end data science execution including scoping, building, testing, implementation, maintenance, tracking and optimisation of predictive models.
  • Lead and mentor a team of data scientists to deliver the outcomes.
  • Responsible for complete and accurate documentation of all development.
  • Engage with business partners and delivery teams to ensure algorithms are delivered and implemented into production systems
  • Develop, maintain and enhance variety of customer segmentation models to uncover customer insights.
  • Interpret analysis and modelling results in a business context and provide commercially focussed recommendations to support business decisions.
  • Maintain and enhance the modelling data mart to ensure efficient and accurate modelling process.

Your Experience

  • 7 to 10 years experience developing predictive models in commercial environments, preferably exposure to Sales and Marketing.
  • Proficiency in some of the following statistical techniques- Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis, etc
  • Experienced with data analytics products and ideally big data challenges.
  • You'll be experienced working with cross-functional and agile teams to deliver results throughout the product life-cycle.
  • Experience in developing class-leading algorithms to drive commercial outcomes.
  • Proven commercial experience in statistical and machine learning modelling, with experience manipulating and 'making sense' of big data from disparate systems.
  • Advanced working knowledge of analytical programming- SQL, SAS, R or Python.
  • Exposure to Big Data platforms, such as Hadoop and Spark.
  • Experience with SQL essential; exposure to AWS Redshift or Teradata preferred.
  • Experience in working in complex, multi-stakeholder environments.
  • Experience in leading and mentoring teams of data scientists.
  • Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy.
  • Tertiary qualified in relevant discipline (Statistics, Data Science, Mathematics, Computer Science). PhD preferred.

If you are interested in applying or having a chat about this role then please e-mail a copy of your CV to Andreas.mead@hudson.com or call 0282 332 346

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Reference: BZ/45493

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