Data Science Manager

Globe Telecom; Pateros; On-site; PHP 1,500,000 - 2,300,000; Full time

Job summary

Globe Telecom in the Philippines is seeking a Data Science Manager to spearhead end-to-end data science projects, from translating business needs to deploying predictive models in production. You will ensure model reliability, monitor pipelines, and collaborate with business, product, and engineering teams to embed analytics into operational systems.

You will lead data exploration, feature engineering, and the design of data pipelines that merge telco data with external sources for a holistic

Qualifications

• 3+ years’ experience in customer analytics or credit risk in financial services.
• Proven track record leading advanced analytics initiatives and operationalizing models with marketing/risk and IT teams.
• Experience with large, unfiltered data sets and both structured and unstructured data.

Responsibilities

• Data Exploration & Feature Engineering: 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 to create a holistic customer view.
• Model Development & Performance Management: translate business problems into model requirements; build, test, and deploy models; track performance and ROI.
• Insights, Applications & Business Enablement: translate outputs into insights and campaigns; embed analytics into decision-making and customer lifecycle programs.

Skills

Data science

Predictive modeling

Machine learning

Statistical analysis

Python

SQL

Data mining

Data transformation

Education

Bachelor's degree in Statistics/Mathematics/OR/CS

Tools

R

SAS

SPSS

Weka

HDFS

Cassandra

Storm

Job description

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

The Data Science Manager leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production. This role ensures models deliver measurable business impact, maintains the reliability of machine learning pipelines, and collaborates closely with business, product, and engineering teams to integrate data science solutions into operational systems.

DUTIES AND RESPONSIBILITIES:

• Data Exploration & Feature Engineering 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 to create a holistic customer view.

Model Development & Performance Management

• Translate business problems into clear data science approaches and model requirements
• Build, test, and deploy machine learning and statistical models that address business needs
• Track performance, accuracy, drift, and business value of deployed models
• Conduct periodic model tuning and ensure continuous improvement aligned with ROI goals.

Insights, Applications & Business Enablement

• Translate model outputs into clear insights, actionable recommendations, and campaign or operational strategies
• Identify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring.
• Partner with business teams to embed analytics solutions into decision-making and customer lifecycle programs.

REQUIREMENTS:

• Work Experience Minimum of three (3) years’ experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following: data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
• Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams
• Worked with large, unfiltered data sets or data science research
• Level of Knowledge Has Knowledge of both structured and unstructured data
• Must possess core competencies, deep understanding and relevant experience in Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL); Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm Database knowledge: skilled in structured database Familiar with most of the following disciplines: Conceptual modeling: to be able to share and articulate modeling; Predictive modeling: most of the big data problems are towards being able to predict future outcomes; Hypothesis testing: being able to develop hypothesis and test them with careful experiments; Natural Language Processing: the interactions between computer and humans; Machine learning: using computers to improve as well as develop algorithms; Statistical analysis: to understand and work around possible limitations in models.

Education Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics 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.

Globe Telecom, Inc. (Globe) is the leading Telecommunications company in the Philippines and the purveyor of the Filipino digital lifestyle. We provide cellular, broadband and mobile data services by focusing on enriching our content offerings amid customers' growing preference for multimedia platforms across multiple screens and devices. We want to enrich lives through communications by simplifying technology, so that we bring customers closer to what matters most.

Globe was also recognized as one of the Top companies to work for in Asia by Asia Corporate Excellence & Sustainability (ACES) Awards and Best Employer in the Telco category by Stevie’s New York.

Our principal shareholders are Ayala Corp. and Singtel, both industry leaders in their respective countries and in the region. We are also a member of Bridge Alliance, Asia Pacific's leading mobile alliance of 36 mobile carriers. Purpose

In everything we do, we treat people right to create a Globe of Good.

Vision

We see a Philippines where families' dreams come true, businesses flourish, and the nation is admired. Mission We create wonderful experiences for people to have choices, overcome challenges, and discover new ways to enjoy life.