Senior Data Scientist: Generative AI & Data Pipelines

Hammerjack Pty Ltd; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Hammerjack Pty Ltd in Pasig is seeking a Senior Data Scientist to develop advanced analytics solutions, ML models, and Generative AI applications. The role includes data engineering, ETL development, statistical analysis, and dashboard creation to support business decision-making.

Key responsibilities include designing ML and Generative AI solutions, data modeling, ETL pipelines, dashboards in Power BI, and collaboration with stakeholders, ensuring data quality and governance, with an onsite day

Qualifications

• Bachelor's degree in Data Science, Statistics, IT, Engineering, or related discipline.
• 5+ years of experience in Data Science or related roles.
• Strong analytical, problem-solving, and communication skills.
• Experience working with cross-functional global teams.
• Advanced degree or certifications in AI/ML (preferred).

Responsibilities

• Design and develop Machine Learning and Generative AI solutions.
• Perform statistical analysis and data modeling.
• Build and maintain scalable ETL and data pipeline solutions.
• Create dashboards and reports using Power BI.
• Collaborate with business and technical stakeholders.
• Ensure data quality, governance, and integrity.

Skills

Python

SQL

Machine Learning

Generative AI

Statistical Modeling

Power BI

Data Pipelines & ETL

Azure or AWS

Agile Methodologies

Education

Bachelor's degree in Data Science, Statistics, IT, Engineering, or related discipline.

Job description

Hammerjack Pty Ltd in Pasig is seeking a Senior Data Scientist to develop advanced analytics solutions, ML models, and Generative AI applications. The role includes data engineering, ETL development, statistical analysis, and dashboard creation to support business decision-making.

Key responsibilities include designing ML and Generative AI solutions, data modeling, ETL pipelines, dashboards in Power BI, and collaboration with stakeholders, ensuring data quality and governance, with an onsite day