Data Scientist (Data Governance Focus)

About the Role

We are working with a company client who is looking for a Data Scientist with a strong focus on data governance to play a key role in supporting the Data Team. While their engineering and model-building pipelines are well-covered, this role is dedicated to helping build and maintain our core data foundations, active data governance initiatives, data onboarding, and mapping efficiencies. You will collaborate closely with internal stakeholders (Product Leads, Machine Learning Engineers, Software Developers) and external stakeholders to ensure accurate, timely, and well-structured data assets.

Key Responsibilities & MUST Requirements

• Data Governance Leadership (MUST): Take active ownership of data governance activities, including data cataloging, mappings, data onboarding, and establishing data quality standards across enterprise pipelines.
• Use Case Enablement & Value Realization: Deliver accurate, reliable, and business-aligned data solutions by pairing analytical expertise with rigorous data governance and compliance practices.
• Operational Excellence: Partner with the Data Team to uphold technical, documentation, and data asset standards that streamline inter- and intra-team collaboration.
• AI & Data Culture Leadership: Champion a data-driven culture, promote data literacy and AI awareness, and mentor peers on data governance best practices.

Required Competencies & Qualifications

• Education: Bachelor's or Master's degree in Data Science, Statistics, Physics, Computer Science, Engineering, or a related field.
• Experience: Minimum of 2 years of experience with a primary focus or strong background in data governance, data cataloging, and data onboarding .
• Technical Stack: Proficiency in Python, SQL, and Git (R is a plus).
• Core Skills (MUST): Proven experience in data governance frameworks, exploratory data analyses, data pipeline building, and stakeholder management.
• Core Mindset: Demonstrated strength in Technical Competence, Project Management, Scenario Management (identifying risks to data and model integrity), and Career Ownership.

Work Setup: Hybrid (2 Days Onsite, 3x WFH)

Application Question(s):

• What is your expected salary? (REQUIRED)

Education:

• Bachelor's (Preferred)

Work Location: Hybrid remote in Mandaluyong