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DATA SCIENTIST II

Date: 27-Sep-2020

Location: Petaling Jaya, MY

Company: Celcom Axiata Berhad

Job Description

JOB PURPOSE

Create and implement various statistical models, analysis, ad-hoc reporting and dashboard creation to address business requirements

ACCOUNTABILITIES /KEY RESPONSIBILITIES

  • Analyze and deliver basic demographic and usage analysis with short span of time to answer key questions raised by business 
  • Create automated anomaly detection on systems and data marts and constant tracking on performance 
  • Create and execute dashboards by using key KPIs identified from analysis to enable business to monitor business performance 
  • Lead and manage a small technical project team to solve the data discrepancy problem when required to achieve good data accuracy
  • Produce and deliver full-stack scalable data analytics by incorporating data science and advance analytics 
  • Plan, develop and deliver machine learning models using advance statistical methods
  • Prepare slides and delivers presentations to articulate findings of advance analysis and models to management and necessary stakeholders 
  • Monitor and provide on-going tracking and monitoring performance of deployed statistical models to ensure consistency 

QUALIFICATIONS, EXPERIENCE & SKILLS/COMPETENCIES

QUALIFICATIONS:

BA/BS degree engineering, statistics, computer science or related field

EXPERIENCE:

  • 5 or more years’ experience of relevant quantitative and qualitative research and analytics and machine learning

TECHNICAL & BEHAVIOURAL COMPETENCIES/ SKILLS

TECHNICAL & BEHAVIOURAL COMPETENCIES/ SKILLS:

  • Knowledge of telecommunication industry with knowledge of business/functional areas is preferred
  • Good applied statistical skills such as distribution, statistical testing, regression, etc
  • Intermediate knowledge SQL, Python, R, Spark R or equivalent
  • Fair knowledge of Big Data analysis and management with Apache tools such as Cloudera, Zookeeper, Pig, Hive, HBase, Solr etc
  • Experience with machine learning algorithms and classifiers such as k-NN, Naive Bayes, SVM, Random Forest, Linear Regression, ARIMA, Neural Nets, Deep learning, etc.
  • Fair knowledge of data management and maintenance through tools such as Data warehousing solutions, ETL, SAP Data Management, SSIS, Cloud technologies etc
  • Good communication skills


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