Data Science Jobs in Philippines
There are 137 open Data Science jobs in Philippines on freehire right now. 17 of them were posted recently. The skills employers ask for most often are machine-learning, python and data-science.
Most requested skills
- machine-learning 73%
- python 72%
- data-science 66%
- analytics 58%
- sql 55%
- ai 55%
- statistics 46%
- cloud 35%
How the work is done
- Hybrid 19 · 14%
- Remote 8 · 6%
- Onsite 1 · 1%
Visa sponsorship offered in 33% of the 3 postings that state a position on it.
Seniority
- Senior 34
- Lead 11
- Middle 4
- C-level 2
- Intern 1
- Junior 1
Who is hiring
- 1000+ employees 20
- 501-1000 employees 5
- 201-500 employees 1
AI-Driven Marketing Data Scientist (Snowflake)
Build and maintain AI-driven marketing data pipelines in Snowflake, using Python and SQL to ensure clean, accessible data for predictive models and analytics.
Data Scientist: Insights & Predictive Analytics
Analyze large datasets to extract insights and build predictive models that guide business strategy decisions.
Senior Data Scientist: AI, Forecasting & Optimization
Lead AI-driven forecasting and optimization projects, building and deploying generative AI models for sales, finance, and supply chain in a product company.
Senior Data Science Specialist: Predictive Analytics & AI
Design and deploy predictive analytics and AI models using SQL, Python/R, and cloud tools to drive business decisions in HR tech.
Data Scientist
Senior Data Scientist builds ML models to prioritize cybersecurity vulnerabilities using Python, R, and TensorFlow/PyTorch on enterprise security telemetry.
Remote Data Scientist — AI Evaluation & Community
Design AI evaluation frameworks, improve LLM training data quality, and analyze failure trends for a global remote team.
Data Scientist — AI Evaluation & LLM Quality
Build and run evaluation frameworks to test and improve AI model accuracy and safety using Python/SQL.
Enterprise Data Scientist: AI, Cloud & Impact
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
Senior Data Scientist - AI, Risk & Growth (Multidomain)
Build and own AI-driven credit risk and growth models for a fintech company, influencing business decisions with production-ready machine learning solutions.
Senior AI Data Scientist — Production ML & Analytics
Develop AI solutions and predictive models to drive business impact, deploying ML systems with Python or R.
Lead Data Scientist, AI & Analytics
Lead end-to-end AI and analytics projects, building and deploying machine learning models to drive business decisions for global clients.
Data Scientist – AI/IDP Analytics & Automation
Design and implement AI/IDP solutions for claims processing, transforming documents into structured data using Python, SQL, OCR/NLP, and ML.
Marketing Data Scientist, Data & AI Enablement
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
FULLREMOTE - ML Engineer/ Data Scientist
ML Engineer/Data Scientist maintains and evolves ML models in production for a banking project, using Python, PySpark, BigQuery, and GCP while monitoring model drift and performance.
Data Scientist - ML, Data Pipelines & Insights
Build ML models and data pipelines to turn microfinance data into actionable insights for Cebu City-based teams.
Senior Data Scientist - Remote AI & Predictive Analytics
Senior Data Scientist builds predictive models and analytics using Python, PySpark, and cloud tools to extract business insights and guide decisions.
Fraud Risk Data Scientist — Remote-First ML & Impact
Build and refine ML models to detect and prevent fraud for Sardine’s clients, using Python/R, SQL, and BI tools while collaborating with stakeholders.
Senior Data Scientist - Remote Mexico, ML Impact
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.