Senior Data Scientist: Generative AI & Data Pipelines

cai; Manila; Hybrid; PHP 1,339,000 - 2,009,000; Full time

Job summary

CAI is seeking a Senior Data Scientist for a full-time hybrid role based in Mandaluyong City. You will design and implement analytics solutions, including ML models and Generative AI applications, and collaborate with cross-functional teams to deliver data-driven insights.

The position emphasizes data engineering, building pipelines, dashboards with Power BI, and ensuring data quality. Strong English communication and Agile experience are valued, with cloud familiarity (Azure/AWS).

Qualifications

• At least 5 years of experience in data science or related roles.
• Experience in machine learning, statistical modeling, and Generative AI.
• Proficiency in Python, R, SQL, and data visualization tools like Power BI.
• Experience in building and maintaining data pipelines.
• Familiarity with cloud platforms such as Azure or AWS.

Responsibilities

• Design and implement advanced analytics solutions, including machine learning models and Generative AI applications.
• Build data pipelines and data visualization using Power BI.
• Collaborate with cross-functional teams to deliver actionable insights.
• Develop scalable data pipelines and ETL processes.
• Create interactive dashboards and reports.
• Ensure data quality and integrity through validation.

Skills

Machine learning

Generative AI

Python

R

SQL

Data visualization

Data pipelines

Cloud platforms (Azure/AWS)

Cross-functional collaboration

English communication

Tools

Power BI

Job description

CAI is seeking a Senior Data Scientist for a full-time hybrid role based in Mandaluyong City. You will design and implement analytics solutions, including ML models and Generative AI applications, and collaborate with cross-functional teams to deliver data-driven insights.

The position emphasizes data engineering, building pipelines, dashboards with Power BI, and ensuring data quality. Strong English communication and Agile experience are valued, with cloud familiarity (Azure/AWS).