Network Data Scientist

Globe Telecom, Inc.; Manila; On-site; PHP 1,000,000 - 1,700,000; Full time

Job summary

Globe Telecom, Inc. seeks a Network Data Scientist to design, develop, and deploy statistical models and AI/ML solutions that drive network performance and subscriber experience.

You will translate complex network data into actionable insights and recommendations for optimization and investment decisions. You will lead data discovery across diverse data sources, collaborate with multiple teams, and communicate results to both technical and non-technical stakeholders to enable data-driven

Qualifications

• Strong foundation in statistics and ML techniques for network data analytics.
• Experience in building predictive and prescriptive models for performance optimization.
• Proficiency in Python/SQL and data visualization for stakeholder communication.

Responsibilities

• Design, develop, and deploy models to deliver insights on network performance and subscriber experience.
• Lead data discovery across large-scale data sources and translate findings into actionable recommendations.
• Collaborate with cross-functional teams to implement analytics-driven improvements in site planning and uptime.

Skills

Statistical modeling

Machine learning

Data analysis

Python

SQL

Tools

TensorFlow

Airflow

Jupyter

Job description

## Network Data ScientistApplylocations: 15F W City Centertime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R0000020012At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.## **Job Description**Designs, develops, and deploys statistical models, machine learning solutions, and advanced analytics to deliver descriptive, diagnostic, predictive, and prescriptive insights aligned with organizational and network strategy objectives. Translates complex network and subscriber data into actionable, data-driven recommendations that improve network performance, guide investment decisions, and enhance customer experience. ● Provides analytical and data science support to the Network Perception and Insights section and the Network Analytics section, enabling deeper understanding of network performance, subscriber experience, and competitive positioning through advanced analytics and AI/ML-driven insights. ● Leads data discovery and data mining efforts across diverse network datasets, uncovering hidden patterns, anomalies, and relationships from large-scale internal and external data sources. Translates complex, multi-dimensional network data into actionable, data-driven recommendations that improve network quality, optimize resources, and enhance subscriber experience.* ### Develops and oversees predictive and prescriptive models to support network planning, optimization, and performance management (e.g., capacity● forecasting, site prioritization, experience-driven optimization, and site availability prediction).* ### Applies statistical analysis, machine learning, and AI techniques to network performance (KQI/KPI), subscriber experience (CEI, NPS), site availability, and business outcome data.* ### Conducts root-cause analysis, post-mortem modeling, and correlation/causal studies across network events, programs, incidents, and site downtime **drivers (e.g. customer perception regression analysis - NPS drivers etc ).*** ### **Supports business and operational domains by delivering advanced analytics use cases, including network–marketing claim validation, network** **experience-to-revenue modeling, network–business performance correlation, and site availability optimization.*** ### **Leverages third-party and competitive datasets (e.g., Ookla, FB Meta, VOC surveys) to enrich internal analyses and improve model robustness.*** ### **Leads data discovery and exploratory analysis, identifying trends, anomalies, and high-value patterns across multi-source network and operational** **data.*** ### **Collaborates with cross-functional teams (Network Perception Insights / Network Analytics in NAI and other divisions like in Network Access, Core,** **Transport, Planning & Engineering, and Operations etc) to apply insights to site planning, upgrades, capacity optimization, and site uptime** **improvement.*** ### **Communicates complex analytical results clearly to technical and non-technical stakeholders, enabling informed decision-making at operational and** **leadership levels.*** ### **Ensures analytics outputs are actionable, aligning models and insights to strategic objectives, operational needs, site availability, and** **subscriber-centric network improvements.**