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Sr. Officer-Ran Planning Data Scientist
Company | PT. Indosat Tbk |
Address | Jakarta Raya, Indonesia |
Employment type | FULL_TIME |
Salary | |
Category | Telekomunikasi |
Expires | 2023-08-23 |
Posted at | 9 months ago |
Responsible to uses analytical, statistical, and programming skills to collect large data sets to develop meaningful insights to RAN planning purposes which cover the following, but not limited to:
- Develop data-driven solutions explicitly tailored toward the needs of an organization.
- Identify and collect appropriate technology database, customer, competitor, market, economic, financial, and other relevant data and undertake necessary quantitative and qualitative data analysis.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize business process, customer experiences, revenue generation and other business outcomes.
- Develop A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Requirements
Qualification:
- Minimum bachelor’s degree (S1) in Telecommunication Engineering.
- Demonstrate good capability on GIS tools (Google Earth, MapInfo, QGIS etc.)
- Demonstrate good capability on data management, data analytic programming (mySQL, Phyton etc.) and data visualization tools (Tableau, Power BI etc.).
Related Experience:
- Min. 4-5 years of experience in Network function in Telco/Operator company, preferred in RAN and/or RF-related fields.
- 3-4 years experiences in data analytic modelling, programming, and analysis.
Skills:
- Present information attractively using data visualization techniques.
- Managing various datasets and undertaking data analysis.
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