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Principal Data Scientist
  • Python
  • Spark
  • SQL
  • Machine Learning
  • Tableau
  • Excel
  • Data Visualization
  • Modeling
  • Hadoop
  • PostGreSQL
176 days ago


  • Translate pain-points of stakeholders into problem statements, architect and implement AI technologies/solutioning and present results and insights to business stakeholders.
  • Solid track record of deploying machine learning algorithms in production environment.
  • Work with business, data analyst, and IT stakeholders on data ingestion, architecture, test and solution design for model production and deployment
  • Develop and deploy analytical solutions across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, network roll-out, fraud identification
  • Track and improve performance of analytical solutions developed
  • Communicate findings to wider audiences within Singtel and be a data evangelist within the Singtel consumer group
  • Stay current on cutting edge business applications, tools and approaches

Required Skills and Qualifications

  • Significant relevant experience in building and deploying data science solutions on large amounts of data.
  • Advanced degree preferred: Masters degree with 3-5 years experience in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related quantitative field.
  • Deep technical and data science expertise, including experience in the following: Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests, neural networks), design of experiments, segmentation/clustering, text mining, network analysis (e.g., location allocation), optimization, simulation
    Analytics tools: Data wrangling (SQL, R, Python, PostGRESql, Spark, Hadoop/Hive), Data Modeling (R, Python), Data visualization (Tableau)
  • Experience building in-production models , including associated scripting, error handling and documentation
  • Strong record of professional accomplishment
  • Highly self-driven, demonstrate critical thinking, team player & fast learner
  • Excellent communication and presentation skills in English


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