Senior Data Science

APW Tech; Metro Manila; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

APW Tech is seeking a highly analytical Data Scientist to leverage data, statistics, and ML to solve complex problems and support strategic decisions. You will work with large datasets, build predictive models, and partner with cross-functional teams to deliver actionable recommendations.

You will translate business needs into analytical solutions, monitor models, and stay ahead of emerging data science trends and technologies.

Qualifications

• Bachelor's degree in a data-related field.
• 5+ years in data science, analytics, or machine learning.
• Proficiency in Python, R, SQL.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch.
• Experience with large datasets and cloud-based data platforms.
• Strong problem-solving and communication skills.

Responsibilities

• Collect, clean, and validate structured and unstructured data from multiple sources.
• Analyze large datasets to identify trends, patterns, and business opportunities.
• Develop, test, and deploy machine learning and predictive models.
• Design and implement data mining processes and statistical analyses.
• Create dashboards, reports, and visualizations to communicate findings to stakeholders.
• Collaborate with business, product, engineering, and leadership teams to define data-driven solutions.
• Monitor model performance and continuously improve algorithms and analytics processes.
• Translate business requirements into analytical frameworks and technical solutions.
• Stay current with emerging trends, tools, and technologies in data science, AI, and analytics.
• Ensure data quality, integrity, and regulatory compliance.

Skills

Python

R

SQL

ML frameworks

Statistical modeling

Communication

Education

Bachelor's degree

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

Job Summary

We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will leverage data, statistical analysis, machine learning techniques, and business insights to solve complex problems and support strategic decision-making. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver actionable recommendations that drive business growth.

Key Responsibilities

• Collect, clean, and validate structured and unstructured data from multiple sources.

• Analyze large datasets to identify trends, patterns, and business opportunities.

• Develop, test, and deploy machine learning and predictive models.

• Design and implement data mining processes and statistical analyses.

• Create dashboards, reports, and visualizations to communicate findings to stakeholders.

• Collaborate with business, product, engineering, and leadership teams to define data-driven solutions.

• Monitor model performance and continuously improve algorithms and analytics processes.

• Translate business requirements into analytical frameworks and technical solutions.

• Stay current with emerging trends, tools, and technologies in data science, artificial intelligence, and advanced analytics.

• Ensure data quality, integrity, and compliance with relevant regulations and standards.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

• 5+ years of experience in data science, analytics, or machine learning roles.

• Strong proficiency in Python, R, SQL, or other analytical programming languages.

• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar.

• Solid understanding of statistical modeling, predictive analytics, and data mining techniques.

• Experience working with large datasets and cloud-based data platforms.

• Strong problem-solving and critical-thinking skills.

• Excellent communication and presentation abilities.