Data Science Manager
About the role
The Data Science Manager leads end-to-end development of data-driven solutions at Globe: translating business needs into projects, then building, deploying, and monitoring predictive models in production. The role keeps machine-learning pipelines reliable and ties model output to campaign and operational systems.
What you'll do
- Lead data extraction, exploration, cleansing, and transformation of large and complex datasets
- Design, engineer, and validate features needed for predictive models and advanced analytics
- Build frameworks and data pipelines that combine telco datasets with digital, social, and external data sources
- Build, test, and deploy machine learning and statistical models that address business needs
- Track performance, accuracy, drift, and business value of deployed models and tune them against ROI goals
- Translate model outputs into insights, recommendations, and campaign or operational strategies
Requirements
- Minimum of three (3) years’ experience in customer analytics and/or credit risk assessment and financial services, covering data mining, predictive modeling, machine learning, and large-scale data acquisition
- Proven track record of leading advanced analytics initiatives and operationalizing analytic models with marketing/risk and IT teams
- Scripting or programming experience with relational databases (e.g. Python, Java, SQL)
- Advanced usage of statistical tools such as R, SAS, SPSS, or Weka
- Familiarity with big-data tools such as HDFS, Cassandra, or Storm
- Degree in a quantitative discipline such as Statistics, Mathematics, Operations Research, Engineering, Computer Science, Econometrics, or Information Science
About Globe Telecom
Globe Telecom is the leading telecommunications company in the Philippines, providing cellular, broadband, and mobile data services.
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