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Keywords / Skills : Data Scientist, machine learning, predictive analytics, statistical modelling, R, Python, Matlab, analytics/data mining package, big data technologies, machine learning algorithms, Hadoop, Spark, MongoDB, ElasticSearch, Kibana, Tableau, Weka or D3 visualisation

Posted: 2019-11-10

Industry
Recruitment/Staffing/RPO
Function
Purchase/Logistics/Supply Chain
Role
Computer Operator/Data Entry
Posted On
10th Nov 2019
Job Ref code
2200
Job Description
Job Description :

Responsibilities
  • Analyse and predict outcomes based on historical patterns
  • Discover new insights and understanding of business performance based on data
  • Explore and analyse business problems and to create customer scorecards
  • Identify, monitor and measure quality processes over time.
  • Develop dashboard to visualise findings in precise and meaningful ways
  • Use statistical data analysis and leading technologies to drive fact based decisions.
  • Explore the availability of new data source
  • Explore the data to find new patterns and relationships


Requirement
    • Strong mathematical, statistical or actuarial background
    • Must have hands on experience in machine learning, predictive analytics and statistical modelling
    • Adept at problem solving using both textbook methods and novel viewpoints
    • Proficiency in either R, Python, Matlab or other analytics/data mining package
    • Knowledge of big data technologies and machine learning algorithms will be an advantage
    • Preferably familiar with Big Data applications/solutions such as Hadoop, Spark, MongoDB, ElasticSearch, Kibana and etc
    • Preferably familiar with data visualization techniques using one or more packages such Tableau, Weka or D3 visualisation.


* Applicants should be Malaysian citizens or hold relevant residence status.


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