Senior Data Scientist

Location: Orchard

*** Mention DataYoshi when applying ***

Job 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).


  • A degree in Computer Science, Applied Math, Statistics, or Industrial Engineering.
  • A relevant Master’s degree (or higher) is highly regarded and can be used in place of some work experience
  • 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.
  • Strong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation.
  • The skills to work cross-functionally and push business partners to focus on realistic goals and projects.
  • Experience with distributed analytic processing technologies (think Hive, Spark)
  • Experience building and deploying analytic solutions as well as machine learning and/or optimization models in production.
  • Solid statistical knowledge and analytic thinking, ideally utilized in modelling and experimentation.
  • Managing and motivating a team of technical specialists who are data scientists.

*** Mention DataYoshi when applying ***

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