Audio Data Scientist – End-to-End ML in Production

PT Fata Organa Solusi

Tangerang

On-site

IDR 180,000,000 - 360,000,000

Full time

14 days+
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Job summary

PT Fata Organa Solusi, in partnership with CAC Holding Japan, builds technology products. Our data science team works on real production systems with measurable impact on the product.

PT Fata Organa Solusi subsidiaries of CAC Holding Japan is a forward‑thinking organization specializing in innovative business solutions. We are committed to leveraging the latest technologies in data science to drive decision‑making and enhance our product offerings.

Qualifications

  • 3+ years of professional experience in data science, ML, or related engineering role.
  • Strong Python; production-ready code.

Responsibilities

  • Own the full model lifecycle from framing to deployment and monitoring.
  • Build and maintain data pipelines for audio datasets, including labeling workflows and quality checks.
  • Design, train, and optimize models for audio tasks with clear evaluation criteria tied to product outcomes.
  • Move models into production with packaging, serving, versioning, and drift monitoring.
  • Profile and optimize models for latency, memory, and throughput on target platforms.
  • Review junior data scientists' work and mentor on methodology, code quality, and experiment design.
  • Write technical documentation and present findings to stakeholders, including partners in Japan.

Skills

Python
Data science
Machine learning
Problem framing
Experimentation
Deployment
Code readability
CI/CD
Git
English communication

Tools

GitHub Actions
Jenkins
CircleCI

Job description

PT Fata Organa Solusi, in partnership with CAC Holding Japan, builds technology products. Our data science team works on real production systems with measurable impact on the product.

PT Fata Organa Solusi subsidiaries of CAC Holding Japan is a forward‑thinking organization specializing in innovative business solutions. We are committed to leveraging the latest technologies in data science to drive decision‑making and enhance our product offerings.

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