Data Scientist

Successful rewards
Successful reward: RM 1,200 - RM 2,160


  • Industry:  
    Digital Marketing 

  • Position:
    Data Scientist

  • Monthly Salary:

    RM5,000 - RM9,000 (Depends on skill/experience)

  • Allowance:
    Full details will be mentioned during interview

  • Working hours:
    Full details will be mentioned during interview

  • Holiday:
    Full details will be mentioned during interview

  • Job Location:
    Mid Valley

  • Type of employment:

  • Probation:
    Full details will be mentioned during interview


  • Excellent scientific and analytical experience 

  • Skills in statistical languages as R and Python are strong

  • Collect and analyse data, implement concrete use cases, studies or POCs.

    Key responsibilities include, but are not limited to:

    • Develop further our local service offering and capabilities within econometric modelling & predictive analytics
    • Lead client projects modelling the effect of marketing initiatives to sales & other business outcomes
    • Driving the advanced analytics agenda throughout the company
    • Co-lead together with Lead Big Data Architect / Engineer (Hadoop/AWS) design and development locally including ELT and ETL of data from source systems such as Facebook, Adform, DoubleClick, Google Analytics to Google Cloud Platform (GCP), HDFS/HBase/Hive/ and to AWS e.g. S3, EC2.
    • On time delivery of deliverables, meeting personal objectives
    • Familiar with visualisation tool such as Google Data Studio and Tableau
    • Coach, mentor and train other Insight & Analytics team members & internal stakeholders where needed


  • Can-do attitude and the drive to get things done hands-on
  • Outstanding problem solving skills
  • Excellent communication skills – you will be in close contact with our clients & internal stakeholders constantly and need to be able to explain advanced analytical concepts to people who might not be experts on data or mathematics
  • Solid knowledge of statistical modelling, machine learning and predictive analytics
  • Ability to drive the development of our modelling service offering
  • Solid hands-on experience in GCP or AWS cloud environment and data technologies – Infrastructure, Architecture, Services
  • Solid knowledge in programming languages such as Java, Scala, Python, and shell scripting and Linux ecosystem
  • Knowledge in Google big query, modelling.
  • SQL is your second mother language
  • Proven track record of producing models and actionable insights using advanced statistical methods.(predictive analytics)
  • Minimum M.Sc. in a Quantitative Science e.g. Economics, Statistics/Mathematics or Computer Science with an emphasis on algorithms, machine learning, data mining, statistics, econometrics, applied mathematics or similar field
  • Minimum 2-3 years of experience in statistical modelling & advanced analytics
  • English proficiency level 100.


Company will be revealed during interview.


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