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Data Scientist

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Onsite

Data Scientist

HCM Nexus

Data Scientist

Skills

SQL QueriesData EngineeringPythonData ScienceData AnalysisMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Salary:

₱1,080,000 – ₱1,200,000 / year

Location:

Metro Manila, Philippines

Work mode:

Onsite

Published on:

25 August 2026

What they need


Data Scientist

  • Location: Taguig City | Remote/WFH Setup
  • Shift: Mid/Night Shift

About the role

We are looking for a Data Scientist to support the development of data-driven solutions, with a focus on AI/ML, Intelligent Document Processing (IDP), and automated data extraction. The role involves working with structured and unstructured data to develop solutions that improve business processes and decision-making. You will collaborate with business stakeholders, engineers, and data scientists to transform business requirements into practical data and AI solutions.

Key responsibilities

  • Develop automated document extraction and data enrichment solutions using AI/ML technologies.
  • Manipulate and analyze data using Python and SQL Server to identify patterns, anomalies, and insights.
  • Label and validate datasets for machine learning and document processing.
  • Support the use of NLP, OCR, and Generative AI to extract information from unstructured and semi-structured documents.
  • Develop evaluation frameworks using metrics such as precision, recall, F1 score, and accuracy.
  • Build monitoring solutions to continuously evaluate the performance of implemented models and processes.
  • Collaborate with experienced data scientists and modelers to develop predictive models and analytical solutions.
  • Apply machine learning techniques such as decision trees and clustering.
  • Create and maintain technical documentation for data and AI processes.
  • Collaborate with business stakeholders and engineering teams to translate business problems into technical solutions.

About you

  • Bachelor's degree in Data Science, Analytics, Statistics, Actuarial Science, Mathematics, Engineering, or a related quantitative field.
  • Experience working with datasets and extracting meaningful insights from data.
  • Experience or exposure to data science, software development, data engineering, or analytics.
  • Proficiency in Python, SQL, and Git.
  • Strong critical thinking, analytical, and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Strong attention to detail and organizational skills.
  • Ability to work effectively in a fast-paced and highly collaborative environment.
  • Preferred: Experience with OCR, NLP, image analytics, or Generative AI.
  • Preferred: Experience developing evaluation frameworks and conducting experimental analysis.

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