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

Develop and train multiple models for semantic event and named relationship extraction. Facilitate the development of multiple hierarchical classifiers and topic models (generative and discriminative). Architect, implement and deploy new data models and data processes in production. . Orchestrate APIs and automate data processesManage data warehouse plans for a product or a group of products. Explore client data, analyze and Implement ETL process leveraging open source frameworks. Write python/spark scripts for Model verification and/or query database. Monitor model performance and advising any necessary DevOps changes

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 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.

NAI Full Stack Data Scientist