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Data Scientist

Our Clients


Job Location:

Mandaluyong - Philippines

Monthly Salary: Not provided by the employer
Posted: 28 October 2026 (7 hours ago)
Application Deadline: 25 January 2027
Vacancies: 1 Vacancy

Job Summary

We are looking for a Data Scientist who can combine analytical thinking statistical expertise and programming skills to develop reliable data and model solutions that support business decisions and operational efficiency.

In this role you will work closely with data product engineering and business teams to improve data quality enable analytics use cases support data governance initiatives and explore innovative approaches to data enrichment and automation.

Key Responsibilities
  • Analyze complex datasets and develop reliable business-aligned data and model solutions.
  • Perform exploratory data analysis statistical analysis and model development and validation to address business needs.
  • Support data governance activities including data mapping data onboarding data quality improvement and data enrichment.
  • Collaborate with technical teams and business stakeholders to translate requirements into actionable data science solutions.
  • Identify opportunities to improve operational efficiency through automation experimentation and emerging technologies such as Generative AI.
  • Maintain high standards for data accuracy code quality technical documentation and reproducibility.
  • Identify potential data and model risks recommend improvements and communicate findings and limitations clearly.
  • Contribute to knowledge-sharing initiatives data literacy and continuous improvement across the organization.
  • Manage project deliverables coordinate with stakeholders and ensure timely completion of assigned initiatives.
Qualifications
  • Bachelors or Masters degree in Data Science Statistics Physics Computer Science Engineering or a related quantitative field.
  • At least 2 years of relevant experience in data science data analytics data governance or related roles.
  • Proficiency in Python and SQL with working knowledge of Git for version control.
  • Strong understanding of statistics exploratory data analysis and machine learning fundamentals.
  • Experience in model development evaluation experimentation and business validation.
  • Ability to translate technical findings into clear actionable business insights.
  • Strong analytical problem-solving communication and project management skills.
  • Experience in stakeholder collaboration and cross-functional project delivery.