Data Scientist 

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