Data Scientist | Hybrid
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Summary
Data Scientist developing and deploying machine learning and data solutions to support business use cases, plus data governance work like dataset mapping and onboarding. Hybrid role in Mandaluyong, Philippines (2 days onsite, 3 days WFH), collaborating with engineering and product teams.
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.