Job Summary

$5,300 - $6,300 SGD / Monthly EST

Job Type


Years of Experience
At least 3 years

Tech Stacks

Job Description

We are looking for a passionate and highly motivated Data Scientist to join our dynamic Customer Lifecycle Department team in providing value to our customers through a better understanding of their unique lifestyles and preferences. You will be instrumental in implementing high-impact AI solutions that will deliver business benefits and influence organizational improvements in keeping our customers happy.


  • Drive end-to-end closed-loop consumer marketing initiatives on Retention, Cross-Sell, Up-Sell, Effective Engagement & Sentiments Detection using machine learning techniques
  • Design, develop and operationalise a recommendation engine
  • Plan and execute best-practice implementation strategies on developing, deploying and enhancing machine learning models
  • Champion the application of data science with quantifiable benefits by identifying and solving business problems across the marketing business group
  • Drive R&D to innovate and keep the organization’s AI capabilities updated and best-in-class
  • Perform exploratory data analyses and data enrichment to discover insights on consumer behaviour that can lead to new marketing initiatives and business improvements


  • Degree in Computer Science, Statistics, Engineering or related field.
  • Minimum 3 years of hands-on experience in machine learning model development
  • Proven track record of deploying machine learning models into production environments (experience in Deep Learning models is highly advantageous)
  • High fluency in SQL and/or Python is a must
  • Expert in data wrangling and feature engineering with large datasets
  • Experience using analytical tools such as SAS/SPSS or data visualization tools like Tableau/Qlikview is an added advantage
  • Able to work and communicate effectively with stakeholders from both business and technical background
  • We regret that only shortlisted candidates will be notified.

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