Data Scientist (Hybrid) | Mandaluyong

Bachelor's or Master's degree in Data Science, Statistics, Physics, Computer Science, Engineering, or a related field.

Minimum of 2 years of experience in data science, data governance, or related roles.

Proficiency in Python, SQL, and Git (familiarity with R is a plus).

Strong proficiency in statistics, machine learning, and end-to-end automation, including the ability to leverage emerging technologies such as GenAI for analytical acceleration (e.g., semantic matching, data enrichment).

Experience with exploratory data analysis, model building, business validation, and stakeholder management (experience in data cataloguing and/or data pipeline building is a plus).

Ability to translate complex methods and results into clear, business-relevant insights with transparent communication of assumptions and caveats.

Strong project management and scenario management skills, including structuring actionable steps, anticipating dependencies, estimating realistic timelines, and proactively addressing roadblocks or data gaps.