Vertex AI and Databricks Powering Customer Intelligence Across Australian Media
- Employment type: Full-time
- Shift: Day Shift, Weekends Off
- Salary: Earn up to PHP170,000
- Work setup: Onsite, SM Megatower, Ortigas
Job Summary
Bring your Google Vertex AI and Databricks expertise to enterprise-scale customer intelligence. As an Applied Data Scientist, you'll develop production-ready machine learning solutions that improve engagement, subscriptions, and commercial performance for one of Australia's largest media organizations. Through Emapta, you'll enjoy long-term career growth, global collaboration, and the opportunity to solve complex AI challenges using modern cloud technologies.
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 as an Applied Data Scientist, Machine Learning Engineer, or AI/ML Data Scientist delivering production-ready solutions
- Hands-on experience developing, deploying, monitoring, and optimizing end-to-end machine learning models
- Strong experience with Google Cloud Platform, particularly Vertex AI and BigQuery
- Proficiency in Databricks for large-scale data processing, feature engineering, model training, and ML workflows
- Strong programming skills in Python and SQL; R is an advantage
- Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost
- Familiarity with ETL/ELT, APIs, data pipelines, MLOps, statistical modeling, predictive analytics, and customer intelligence use cases
- Experience with BI tools such as Power BI, Tableau, or Looker
- Industry exposure to Media, Telecommunications, Financial Services, or other data-intensive environments is preferred
- Strong analytical, problem-solving, stakeholder management, and 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 winner of Inspiring Workplaces Australasia 2026, 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.
