Data Scientist | Hybrid

Work Setup: Monday to Friday, Hybrid (2 days onsite, 3 days wfh)
Location: Mandaluyong

Key Responsibilities:

• Develop and deploy timely, accurate data and machine learning solutions that directly align with and support strategic business use cases.
• Execute key governance activities, including dataset mappings and data onboarding, to maintain overall data quality and integrity.
• Uphold technical excellence and documentation standards while actively contributing to cross-functional operational processes.
• Collaborate with engineering and product teams to optimize data workflows and advance overall operational effectiveness.
• Partner with cross-functional stakeholders to champion data best practices and enable scalable value realization across teams.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
• Demonstrated experience in building, validating, and deploying machine learning models and quantitative data solutions.
• Hands-on experience in data onboarding, dataset mapping, and applying structured data governance practices.
• Proven ability to work alongside product managers, software developers, and business stakeholders to translate business needs into data solutions.
• Strong documentation skills with a track record of upholding high technical standards and communicating insights effectively to non-technical partners.