Description
- 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