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  • Define scope, and timelines on assigned data science projects
  • Working in cross functional teams (internal & external) to develop & trial use cases
  • Carry out data preparation, cleansing, exploratory analysis, feature engineering at scale
  • Development statistical & machine learning models using available software stack
  • Result validation and finalize appropriate model for deployment
  • Evaluate business process integration options, offer design, prescriptive analysis for successful business deployment
  • Maintain documentation of methodology, source codes, version control & other best practices in development operations
  • Adhere to agile development practices
  • Deploy & automate viable use case on production environment with collaboration from IT/Business teams
  • Develop & support in implementing required data marts, structures for continuous performance evaluations of deployed models
  • Troubleshoot, optimize execution performance of deployed models
  • Research on industry best practices and work with internal / external parties on RnD tasks
  • Communicates and works with business subject matter experts for continuous improvement of methodologies
  • Carry out trials, adaptations of methodologies
  • Work with assigned business/support unit(s) to identify opportunities for leveraging organizations data to drive business
  • Collect data from internal & external sources and clean and prepare data as suitable for analytical tasks
  • Carry out exploratory data analysis, visualization, hypothesis testing
  • Present findings & actionable intelligence to stakeholders & senior management through data visualization tools

Entry Requirements

  • Degree in Computer Science / Statistics / Information Technology 
  • Should have Excellent understanding of machine learning techniques and algorithms, Data visualization and communication
  • Minimum of 2 years experience as a Data Scientist  

Dialog Axiata PLC | Closing Date: 02/28/2022

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