At 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
This role entails the development and deployment of advanced predictive models, machine learning algorithms, and automated analytics frameworks to optimize demand-capacity forecasting, geospatial build analysis, and financial valuations. The Data Science Expert bridges the gap between raw data engineering and executive decision-making by turning complex datasets into prescriptive insights
DUTIES and RESPONSIBILITIES
●Model Development: Design, build, and maintain sophisticated forecasting models using statistical methods and ML (e.g., Regression, Time-series, Random Forests).
●Advanced Geospatial Analysis: Execute scripts and workflows for complex geospatial processing to guide technical solutioning and market sizing.
●Data Architecture Governance: Oversee the transformation and processing of demand-capacity data, ensuring it adheres to data science best practices for training and testing.
●Insight Storytelling: Translate technical model outputs into actionable "Value-Adding Outcomes" for stakeholders and CFUs.
●Performance Calibration: Implement automated monitoring of platform utilization and model drift to prevent unmitigated capacity breaches.
●Collaborative Innovation: Liaise with CFUs to identify new forecasting drivers and integrate external data sources for richer insighting.
●Automates data pipelines and geospatial models through scripting to streamline decision-making and eliminate manual data handling
TOP 5 DELIVERABLES
1.Automated Predictive Models: End-to-end ML pipelines for internal demand forecasting and latent demand sizing.
2.Geospatial Intelligence Engine: Advanced spatial-temporal models that drive site-selection and build decision-making.
3.Financial & Capacity Optimization: Algorithmic models to estimate value and ROI for future network builds and capacity planning.
4.A/B Testing & Validation Frameworks: Statistical validation of new models and post-review analysis to calibrate performance accuracy.
5.Data Science Product Integration: Seamless integration of models into Enterprise Data platforms to enable real-time business insighting.
Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.