Data Scientist

PLDT

  • Philippines
  • Permanent
  • Full-time
  • 1 month ago
Education College graduate with a degree in Statistics, Math, Economics or Finance or Management. Master's degree is an advantage Qualifications WORK EXPERIENCE: At least 3-4 years relevant work experience, preferably in in telco, finance and insurance industry. SKILLS & ATTRIBUTES: Team player Pro-active Posses high level analytical, computer & problem solving skills Good in communication Results driven Customer oriented ADEPT IN THE FF. SOFTWARE PACKAGES: SAS/Aster/Tableau an advantage R/Python an advantage SQL Forecasting Tools Duties and Responsibilities ROLE OVERVIEW Marketing, Product and CVM Analytics Support Profiling and Insighting, Customer Deep Dives, Segmentation and Modeling DEEP DIVES AND CROSS-FUNCTIONAL ANALYSES/ COMPLEX SCANS / MODELS Identify, design and execute relevant subscriber and cross-functional deep-dive analyses, models, scans relevant to the business needs. Continuously expand scope of analysis through correlation of new and external data sources. Operationalize relevant deep dive scans to constantly find opportunities to generate incremental revenues and identify problem areas. SEGMENTATION AND PROFILING OF SUBSCRIBERS/TRADE/CHANNELS Identify, design and develop new segmentation models for deeper understanding of consumer/trade/channels/locations Perform profiling and insighting on customers/trade/channels/locations through more granular views of the base Design profiling/trending dashboards to enable business users to easily view and analyze results MODELING Identify, design and execute statistical models (i.e. Propensity Models, Decision Trees, Clustering) to address current business needs. Identify, design and execute descriptive and prescriptive models (i.e. Star Rating, MNP Risk, Credit Score - Prepaid) to address current business needs. Operationalize and regularly evaluate models for re-calibration, whenever deemed appropriate. CVM (Customer Value Management) SUPPORT Use Models, Segmentations and Deep Dive inputs to target subscribers for the campaign Pre and Post ROI Monitoring of Campaign launches Continuously improve pre and post ROI methodology in monitoring campaign launches Regularly monitor and re-calibrate current framework when needed

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