Advance AI Innovation Behind Australia's Digital Media Industry
Every click, subscription, and digital interaction creates intelligence that can redefine how media businesses understand and serve their audiences. As a Data Scientist, you'll join a pioneer team supporting a leading Australian digital media organization, developing production-grade machine learning, generative AI, and agentic AI solutions that turn large-scale customer and engagement data into commercial advantage. Take ownership from experimentation through production while building a global career through Emapta with international exposure, premium employee support, and continuous opportunities to deepen your AI expertise.
Your Career at a Glance
Employment Type: Full-time
Shift: Day Shift, Weekends Off
Salary: Earn up to PHP170,000 (based on skills, expertise, and experience)
Work Setup: Onsite, SM Megatower, Ortigas
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
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
- 3-5+ years of end-to-end Data Science and Machine Learning experience, with ownership across development, deployment, and production operations
- Strong hands-on GCP and Google Vertex AI experience covering model training, deployment, lifecycle management, and production monitoring
- Experience with MLOps/LLMOps, including evaluation frameworks, CI/CD pipelines, Docker, data pipelines, and APIs
- Experience designing and deploying agentic AI systems using LangChain, Google ADK, or equivalent frameworks
- Strong Python and SQL skills, including pandas, scikit-learn, XGBoost, or LightGBM
- Practical experience with RAG architectures, vector databases such as pgvector, Pinecone, or Weaviate, and foundation model adaptation using LoRA or QLoRA
- Ability to explain model decisions using techniques such as SHAP or LIME and communicate clearly with non-technical stakeholders
- Familiarity with Terraform, Kubernetes, A/B testing, causal inference, and uplift modelling is a strong advantage
- Experience in Media, Telecommunications, or Finance is welcome but not essential
Your Daily Tasks
- Partner with business stakeholders to translate commercial goals into clear technical requirements and remain involved through deployment to ensure technically sound and commercially relevant outcomes
- Develop machine learning models from customer behavior, product usage, and engagement data to support real business decisions
- Apply Python, SQL, feature engineering, rigorous validation, and explainability techniques across large-scale datasets
- Design generative and agentic AI solutions using large language models such as Gemini, Claude, or open-source models and frameworks such as LangChain or ADK
- Develop retrieval-augmented generation systems using vector databases such as pgvector, Pinecone, or Weaviate
- Fine-tune and adapt foundation models using approaches such as LoRA and QLoRA
- Develop robust evaluation frameworks for machine learning, generative AI, and agentic systems
- Own ML and LLM deployment and operations from validated concept through monitored production service
- Containerize models with Docker and deploy through CI/CD pipelines using GitHub Actions, Cloud Build, or similar technologies
- Deploy and manage production models through Google Vertex AI with drift detection, retraining, monitoring, and evaluation
- Write transformation logic in SQL or Python and support data pipeline orchestration through GCP, Airflow, or similar tools
- Query cloud data warehouses such as BigQuery to support modelling and analytical requirements
- Communicate complex technical concepts clearly and demonstrate the commercial impact of data science and AI initiatives to non-technical stakeholders
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.
