Full Stack Data Scientist | Onsite | Day Shift | Up to PHP170K | Weekends Off

Emapta; Mandaluyong; On-site; PHP 144,000 - 195,000; Full time

Benefits offered by this job

Pioneer team

Day 1 HMO

Day shift weekends off

Gym access

Learning opportunities

Salary advance

Offsite perks

Mentorship

Career growth

Office Ortigas

Annual leave credits

Job summary

Emapta is hiring a Full Stack Data Scientist to own ML solutions from problem definition to deployment and monitoring. You will work with business stakeholders and production-grade ML using Python, SQL, GCP, and Vertex AI.

The role emphasizes end-to-end ownership, collaboration with international teams, and room to expand ML foundations into generative AI. Onsite work at SM Megatower, Ortigas, with strong growth opportunities.

Qualifications

• Degree in Data Science, CS, Statistics or Mathematics or related field.
• 3-5+ years delivering end-to-end DS/ML projects with production ownership.
• Hands-on Google Cloud Platform and Vertex AI experience, incl. training and deployment.
• Strong Python (pandas, scikit-learn) and SQL proficiency.
• Experience with data pipelines, APIs, CI/CD for ML, and Docker.
• Ability to explain model decisions to non-technical stakeholders (SHAP/LIME).
• Exposure to LLMs, vector DBs, LangChain or ADK valued but not required.
• Terraform and Kubernetes familiarity is a strong plus.
• Experience in Media/Telecommunications/Finance welcome but not essential.

Responsibilities

• Translate commercial goals into technical requirements with business partners.
• Stay involved through deployment to ensure value delivery.
• Develop ML models from behavior and engagement data to support decisions.
• Apply Python, pandas, scikit-learn, XGBoost/LightGBM and SQL on large datasets.
• Feature engineering, validation, and model explainability for reliable predictions.
• Move models from concept to live, monitored production services.
• Containerize models with Docker and deploy via CI/CD pipelines.

Skills

Python

SQL

GCP

Vertex AI

Docker

CI/CD

Kubernetes

Terraform

LangChain

ADK

Pandas

scikit-learn

XGBoost

LightGBM

APIs

Education

Data Science degree

CS degree

Statistics

Mathematics

Tools

Google Cloud Platform

Vertex AI

BigQuery

GitHub Actions

Cloud Build

Terraform

Job description

Own Production-Grade AI Across Enterprise Data and Digital Media

Great models create value when they make it beyond experimentation. As a Full Stack Data Scientist, you'll own machine learning solutions from commercial problem and model development through deployment, monitoring, evaluation, and continuous improvement. Apply strong Python, SQL, GCP, and Google Vertex AI expertise to production-grade ML while partnering directly with business stakeholders. With Emapta, gain pioneer-team exposure, international collaboration, continuous development, and room to expand strong classical ML foundations into generative and agentic AI.

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

The Qualifications We Seek

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 3-5+ years of delivering end-to-end Data Science and Machine Learning projects, with ownership across development, deployment, and production operations
• Hands-on Google Cloud Platform and Google Vertex AI experience, including model training, deployment, lifecycle management, and production operations
• Strong Python skills using pandas, scikit-learn, and XGBoost or LightGBM, plus strong SQL proficiency
• Experience working with data pipelines, APIs, CI/CD for ML projects, and Docker containerization
• Proven experience designing evaluation frameworks for machine learning outputs, with openness to applying similar practices to generative AI
• Ability to explain model decisions clearly to non-technical audiences using techniques such as SHAP or LIME
• Exposure to LLMs, RAG architectures, vector databases, generative AI, or agentic frameworks such as LangChain or ADK is highly valued but not required
• Familiarity with Terraform and Kubernetes is a strong advantage
• Experience with A/B testing, causal inference, or uplift modelling is a strong advantage
• Experience in Media, Telecommunications, or Finance is welcome but not essential

Your Daily Tasks

• Translate commercial goals into clear technical requirements in close collaboration with business partners
• Stay involved through deployment to ensure solutions deliver both technical and commercial value
• Develop machine learning models from customer behavior, product usage, and engagement data to support real business decisions
• Apply Python, including pandas, scikit-learn, XGBoost or LightGBM, and SQL across large-scale datasets
• Apply strong feature engineering, validation, and model explainability to deliver reliable and trusted predictions
• Take models from validated concepts to live, monitored production services
• Containerize models with Docker and deploy through CI/CD pipelines using GitHub Actions, Cloud Build, or similar tools
• Deploy and manage models on Google Vertex AI with drift detection, retraining, monitoring, and evaluation
• Apply Kubernetes and infrastructure-as-code tools such as Terraform where appropriate
• Design solutions using large language models such as Gemini, Claude, or open-source models as the role evolves
• Explore agentic architectures using frameworks such as LangChain or ADK
• Develop retrieval-augmented systems using vector databases such as pgvector, Pinecone, or Weaviate
• Apply fine-tuning approaches such as LoRA or QLoRA as opportunities arise
• Write transformation logic in SQL or Python
• Orchestrate data pipelines using GCP, Airflow, or similar tools
• Query cloud data warehouses such as BigQuery directly
• Explain complex technical concepts clearly to non-technical stakeholders
• Build stakeholder trust and communicate the business impact of data science initiatives effectively

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

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

At Emapta Philippines, careers are built with intention. Work with global clients, gain exposure to world‑class standards, and grow in an environment designed for long-term success. Recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026, Emapta stands among the region's most respected employers, committed to empowering talent through stability, opportunity, and continuous development.