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Senior Data Science

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Hybrid

Senior Data Science

APW Tech

Senior Data Science

Skills

SQL QueriesData MiningPythonData SciencePyTorchTensorFlowRData AnalysisMachine LearningAICompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

7 September 2026

What they need


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.

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