Job Description

Job Responsibilities:
  • Drive the full lifecycle of Data Science/Analytics projects: from gathering and understanding the end-user needs to implement a fully automated solution.
  • Develop and provision of Data pipelines to enable self-service reports and dashboards.
  • Deploy Machine learning techniques to answer the appropriate business problems using R or Python.
  • Visualise data using Tableau and create repeatable visual analysis for end users to use as tools.
  • Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
  • Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.
     
  • Requirements:

  • 4+years of professional data science or product analytics experience focused on empirical analytics, data mining, and predictive analytics to develop measurable insights.
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