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01/02/18 9:40
Job Type:
Full Time
Start Date:
  • Graduating students encouraged to apply (Masters/PHDs would be an advantage)
  • The individual MUST have proven track record (or at least possessing such capability or knowledge) of industrial implementation of various categories of work inclusive of however not limited to building a large scale recommendation system, time-series predictions (Economics, Stock Markets, Machines, etc), optimization (Genetic Algorithms, Simulated Annealing, etc), statistical analysis and modeling. Knowing image processing is a plus. Experience with formulating or implementing algorithms that are capable of evolution (automated parameters updating) would be of a great advantage.
  • Large data sets should excite this person
  • A strong knowledge of statistics and data analysis with experience in machine learning techniques (supervised and unsupervised learning), time series analysis, and experiment design
  • Strong analytical skills and facility with Excel (pivot tables, lookups, formulas, formatting)
  • SQL knowledge a must
  • Experience with statistical software (Matlab, SPSS, SAS, R) and Hadoop a plus
  • .Net, Java, HTML 5, Python, HiveQL knowledge a plus
  • Knowledge in Machine Learning/ “R” programming / Python is an added advantage.
  • A desire to learn new methods in data mining/manipulation
  • Background in statistics, software engineering, data mining, database administration, or other quantitative disciplines is highly valued 
  • Ideally an all-rounded person whose related knowledge is more profound than our in-house experts combined.
  • Candidate will have to undergo screening test (theoretical and practical) during the interview which topics are Statistics, Machine Learning, Programming and Apache modules.
  • The individual should have a desire for data mining, scripting, problem solving and statistical analysis.
  • The individual will be responsible for scripting data models, automating data feeds, using BI tools to help visualize data, and various ad hoc projects.
  • The individual will also need to drive statistical analysis projects from beginning to end, and have working experience with regression, factor analysis, building models and predictive analytics.
  • Strong communication skills to obtain stakeholder buy-in and convince audience on the quality of the delivered models are critical to this position.
  • To work collaboratively with DBAs, data scientists, and analysts.
  • Drive improvement in our methodologies, systems and processes
  • Have a deep understanding of large data, our data structures, and how to manipulate our data in an efficient manner
  • Have working experience with statistical tools such as R and Python (SciPy and other relevant packages),SPSS, SAS, have the ability to create statistical models, analyze factors significant to driving user engagement and build predictive models based on historical data
  • Have working experience with Machine Learning (supervised learning, unsupervised learning, semi-supervised learning, graphical models, image processing, reinforcement learning, reproducing kernel hilbert space).
  • Quick in formulating quality, feasible and practical solution fit to big data (usually) application .
  • Knowledge sharing (of theoretical and practical).

Staff Benefits

  • Medical

  • Dental

  • Transport allowance

  • Insurance

  • Perfomance bonus

Interested candidates are encourage to apply online via www.hirednow.com.my

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