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CXA Group Pte. Limited

Data Scientist

IT Data – Singapore, Singapore
Department IT Data
Employment Type Full-Time
Minimum Experience Experienced


  • PhD (or MSc) in Computer Science, Mathematics or Statistics with more than 5 years of hand-on work experience as a Senior Data Scientist.
  • Hands-on experience in developing data-driven algorithms in machine learning, and information retrieval.
  • Working experience in applying machine learning to develop state-of-the art recommender systems
  • Well versed at applying advanced analytical techniques to large and varied data sets. Sample techniques include, but are not limited to:
  1. Recommender systems (collaborative, personalized, hybrid etc)
  2. Data mining and predictive modelling using Python
  3. Data visualization   
  4. Natural language processing (Optional)
  5. Neural Networks \ Deep Learning (Optional)
  •  Persuasive power to communicate with a variety of stakeholders in the organization
  • Attitude to thrive in a fun, fast-paced start-up environment.
  • Experience working with distributed systems like Spark, Hadoop/Hive, Amazon Redshift (AWS) and a variety of BI tools.
  • Expert in Python
  • Healthcare / Finance experience is a plus


In this role, you would be responsible for:

  • Build, scale and evolve our recommendations services
  • Work with stakeholders, identify opportunities for data science to make an impact, and formulate these opportunities to data science projects.
  • Apply develop tools and pipelines to efficiently collect, clean, and prepare (ETL) data for analysis
  • Perform custom analysis of integrated healthcare and behavioral data, interprets results, and makes recommendations based on analytic findings to business areas.
  • Model complex business problems, discover new business insights and find opportunities through the use of algorithmic, statistical, data-mining and visualization techniques
  • Assists in solving client/stakeholder analytics problems and documents results and methodologies
  • Leverage Data Visualization techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data

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  • Location
    Singapore, Singapore
  • Department
    IT Data
  • Employment Type
  • Minimum Experience
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