Job description

Key responsibilities

  • Lead data scientist team of the Business Transformation Office and provide technical leadership in data modelling, machine learning, validate technical feasibility of data use cases and determine technical scope.
  • Provide analytics-based thought leadership across a variety of technical and non-technical audiences to ensure that all levels of GE make data-driven decisions.
  • Subject matter expert to other data scientists, data engineers and analysts across the company as an available resource for all things related to analytics.
  • Develop a machine learning/deep learning models for propensity modeling, user segmentation, text analytics, video analytics, churn prediction, personalisation/recommendation.
  • Tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.
  • Drive a framework and leadership on how Singtel GE work with internal and third party data (think Redshift, Python, Tableau, R) to make strategic recommendations (e.g., personalized user flows, segmented marketing audiences, more accurate recommendations, churn prediction, propensity models).

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.

The ideal candidate should possess

  • Degree in Computer Science, Applied Math, Statistics, or Industrial Engineering.
  • 6 years of work experience involving quantitative data analysis and complex problem solving.
  • Complete command of SQL, and either Python, R, or Hadoop frameworks along with some experience with Tableau. Proficiency with similar BI and visualization tools is also transferable.
  • Extensive experience directly querying large data sets including networks data, customer usage data, third party data and raw data ingested from non-standard platforms.
  • Experience with distributed analytic processing technologies (think Hive, Spark).

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