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.
DUTIES & AND RESPONSIBILITIES
Accountable for Assembling of Data models, Machine Learning Models/Algorithm,Predictive Analytics and Self-Served Data for Network Technical Groupfunctional/non-functional needs. Support AI creation and also secure clean data for upstream purposes (Dashboards, Insights, reports and Analytics application.
Data Integration (Input and Output) for NAI
Analyze and profile the data to transform into a single, uniform schema and checks consistency across subject areas
Analyze the data integration requirements and solutions created
Performs data migration through transportation and loading of batch data to data warehouse
Develop solutions efficiently to continuously accommodate data volumes
Attend and Troubleshoot known data issues such as missing fields and malformed dates on the curated data model
Build API, connectors, and data pipelines for output consumption
Secure the data output accuracy and quality
Data Mining (Pre-application) for NAI
Recommends improvements on business model map created by NAI Team
Review and check if presentation layer tools is properly configured with the interfacing tools and properly designed against the data model
Advance Analytics
Develop Cluster Analytics, Cohorts Analytics, Predictive Analytics and Prescriptive Analytics.
Develop data models that will support geospatial Analytics, Interactive Analytics
Data Science Activity
Create developed, stored and maintained algorithms for the usage of Data Scientist
Develop and deploy analytical models using and other analytical models
Selects, explores, and models data to uncover previously unknown patterns
Analyze of large amount of complex information to find patterns and solution
Execute statistical procedures in NAI Platform for statistical models and outputs performed.
Develop prediction systems and Machine learning algorithms.
Propose a solution to attend to issues that warrant a change to analytical models and configuration of analytical tool
Researches on similar analytical tools, new versions, enhancements and deployments of new releases
Participates workshops on best approach of using SAS and other similar analytical tools given the setup of Globe
Stays informed of all developments on NAI Platform and other similar analytical tools and how it works with its interfacing subsystems
Data Architecture
Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
Define data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees
Define reference architecture, which is a pattern others can follow to create and improve data systems
Define data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition
REQUIREMENTS:
Bachelor's Degree graduate of any IT-related, Math/Statistics and Data Science courses
At least 2 years experience in data science, engineering or machine learning
Knowledgeable in Python, SQL, basic ML models and cloud-based technologies
Equal Opportunity EmployerGlobes 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.Globes 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.
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