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    Data Scientist - Philippines, Pilipinas - PLDT

    PLDT
    PLDT Philippines, Pilipinas

    4 araw ang nakalipas

    Default job background
    Buong oras
    Paglalarawan

    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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