Data Scientist

Key ResponsibilitiesDeep Dives and Cross-Functional Analyses / Complex Scans / ModelsIdentify, design, and execute relevant subscriber and cross-functional deep-dive analyses, models, and scans aligned with business needs.Continuously expand scope of analysis through correlation of new and external data sources.Operationalize relevant deep-dive scans to uncover opportunities for incremental revenue and identify problem areas.Segmentation and Profiling of Subscribers / Trade / ChannelsIdentify, design, and develop new segmentation models for deeper understanding of consumers, trade, channels, and locations.Perform profiling and insighting on customers, trade, channels, and locations using more granular views of the base.Design profiling/trending dashboards to enable business users to easily view and analyze results.ModelingIdentify, design, and execute statistical models (e.g., Propensity Models, Decision Trees, Clustering) to address current business needs.Develop descriptive and prescriptive models (e.g., Star Rating, MNP Risk, Credit Score – Prepaid) to support business objectives.Operationalize and regularly evaluate models for recalibration as needed.Customer Value Management (CVM) SupportUse models, segmentations, and deep-dive inputs to target subscribers for campaigns.Conduct pre- and post-ROI monitoring of campaign launches.Continuously improve ROI methodology for campaign performance tracking.Qualifications Education: Bachelor’s degree in Statistics, Math, Economics, Finance, or Management. Master’s degree is a plus.Experience: 3–4 years of relevant experience, preferably in telecommunications, finance, or insurance.Skills & Attributes:Strong analytical and problem-solving skillsHigh attention to detail and accuracyExcellent communication and presentation skillsProactive, results-driven, and customer-orientedTeam player with a strategic mindsetTechnical Proficiency:SQLR / PythonSAS / Aster / Tableau (advantage)Forecasting tools