Search by job, company or skills

emapta global

AI/ML Data Scientist

3-5 Years
Save
  • Posted 11 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

AI/ML Data Scientist: Customer Intelligence for Australia's Premier Media Network

  • Employment type: Full-time
  • Shift: Day shift, Weekends Off
  • Salary: Earn up to PHP170,000
  • Work setup: Onsite, SM Megatower, Ortigas

Job Summary

Your AI models can influence how millions engage with trusted digital media. This AI/ML Data Scientist role connects machine learning, customer intelligence, and cloud data science to improve subscriptions, fulfilment, engagement, and revenue outcomes within a high-scale Australian media environment, backed by Emapta's premium career support.

Exciting Perks Await!

  • Competitive salary package
  • Pioneer team opportunity with high career impact
  • Day 1 HMO coverage with free dependent
  • Day shift schedule with fixed weekends off
  • Prime office location in Ortigas
  • Unlimited learning and upskilling opportunities
  • Free gym access with trainer support
  • Salary Advance Program through our banking partner
  • Exclusive lifestyle perks and referral incentives
  • 20 annual leave credits with cash conversion option
  • Mentorship from global leaders and teams
  • Career growth opportunities in a supportive work environment
  • Fun employee engagement activities and events

The Qualifications We Seek

  • Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
  • 3-5 years of experience in data science, analytics, or machine learning with end-to-end project delivery experience
  • Experience in data acquisition, feature engineering, model development, ML Ops deployment, monitoring, and optimization
  • Hands-on experience with Google Cloud technologies, including BigQuery and Vertex AI
  • Experience with ML platforms such as Alteryx, Databricks, H2O.ai, or similar tools
  • Strong programming skills in Python, R, and SQL
  • Familiarity with ETL/ELT processes, data pipelines, APIs, and data engineering workflows
  • Industry experience in Media, Telco, or Finance is an advantage
  • Experience with machine learning libraries, experimentation methods, and statistical analysis
  • Experience with BI tools such as Power BI, Tableau, or Looker
  • Strong analytical, problem-solving, and stakeholder communication skills

Your Daily Tasks

  • Analyze customer, product, subscription, and engagement data to uncover trends and opportunities
  • Deliver actionable insights that support business, marketing, pricing, and operational decisions
  • Create dashboards and reporting solutions to measure performance and business outcomes
  • Build and enhance machine learning models for customer behavior, segmentation, engagement, and retention
  • Manage the full model lifecycle, from feature engineering and training to monitoring and optimization
  • Drive AI/ML experimentation, prototyping, and innovation initiatives
  • Continuously improve data science processes, documentation, and development standards
  • Apply emerging AI technologies and best practices to strengthen business capabilities
  • Deliver high-impact data science solutions that improve revenue, efficiency, and customer outcomes
  • Ensure model performance, ML pipeline stability, and operational reliability
  • Promote the adoption of innovative tools, methodologies, and technologies across the organization

Join the Top 1% Talent. A better career. A better life.

Welcome to Emapta Philippines, where high-performing professionals build long-term global careers with leading international companies. Recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and a finalist in the 2026 Inspiring Workplaces Awards Asia, Emapta delivers a workplace defined by stability, growth, and purpose. Here, your career moves forward with meaningful opportunities, world-class support, and a culture built for excellence.

Apply now and be part of the #EmaptaEra.

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 149041953