Data Scientist

Our Clients; Mandaluyong; On-site; PHP 800,000 - 1,100,000; Full time

Job summary

Our Clients in Metro Manila seeks a Data Scientist to blend analytics, statistics, and programming to build reliable data and model solutions supporting business decisions and operational efficiency.

You will collaborate with data, product, engineering, and business teams to improve data quality, enable analytics use cases, support governance initiatives, and explore innovative data enrichment and automation approaches.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Physics, CS, or Engineering.
• 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 grounding in statistics, EDA, 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.

Responsibilities

• Analyze complex datasets and develop reliable data and model solutions aligned with business needs.
• Perform exploratory data analysis, statistics, and model development and validation.
• Support data governance activities including data mapping, onboarding, quality improvement, and enrichment.
• Translate requirements into actionable data science solutions with stakeholders.
• Identify opportunities to improve operational efficiency through automation and generative AI.
• Maintain high standards for data accuracy, code quality, and documentation.
• Communicate findings and limitations clearly, assessing data/model risks.
• Contribute to knowledge sharing, data literacy, and continuous improvement.
• Manage project deliverables and coordinate with stakeholders to ensure timely completion.

Skills

Python

SQL

Statistics

Machine Learning

Data analysis

Project management

Education

Bachelor's or Master's in Data Science/Statistics/CS/Engineering

Tools

Git

Job description

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

• Bachelor's or Master's 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.