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PT Indosat Tbk

Officer-Data Scientist

PT Indosat Tbk Indonesia

Telecommunications · 1,001-5,000 employees

23 h ago
data-scientist Mid (2-5 yrs) Full-time Indonesia
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About the role

The Data Scientist is responsible for developing and operationalizing AI and machine learning models to address business challenges across various domains. They manage the full AI lifecycle, including data exploration, feature engineering, model deployment, and continuous performance tracking.

What they look for

Python SQL Machine Learning TensorFlow PyTorch Scikit-learn Vertex AI AWS SageMaker Azure ML Data Analysis Feature Engineering Predictive Modeling Pipeline Deployment Responsible AI Model Explainability Data Lineage

Requirements

Candidates must hold a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or Applied Mathematics. The role requires 3–6 years of experience in machine learning development and proficiency in Python, SQL, and cloud ML platforms.

Full description

Role Purpose

The Data Scientist plays a pivotal role in developing and operationalizing AI and machine learning solutions that address key business challenges across consumer, enterprise, and corporate domains. This role transforms complex business questions into analytical use cases, designs and trains predictive and prescriptive models, and ensures each model delivers measurable business outcomes such as churn reduction, ARPU growth, cost optimization, and customer satisfaction improvement. Beyond model creation, the Data Scientist leads the full AI lifecycle — from data exploration, feature engineering, and model development to testing, pipeline deployment, and continuous performance tracking. Each model is documented through Model Cards and deployed using Vertex AI pipelines (UDP to ACE) to ensure scalability, transparency, and compliance.By combining deep analytical expertise with Responsible AI practices, the Data Scientist ensures that every solution contributes to embedding AI as a strategic, value-generating capability across the organization.

Responsibilities

  • Translate business needs into technical requirements and define model objectives, input data, and success metrics.
  • Conduct exploratory data analysis (EDA), cleansing, transformation, and feature selection.
  • Build, train, and test machine learning models aligned to business use cases and Responsible AI standards.Engineer new features to improve model performance and capture new business signals.
  • Build, test, and maintain Vertex AI pipelines from UDP (Unified Data Platform) to ACE (AI CoE Environment).
  • Maintain up-to-date model documentation including data lineage, assumptions, KPIs, and Responsible AI checks.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or Applied Mathematics.
  • 3–6 years of experience in machine learning model development and experimentation, ideally in telecom, fintech, or technology sectors.
  • Strong proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience working with cloud ML platforms (Vertex AI, AWS SageMaker, or Azure ML) and pipeline orchestration.
  • Understanding of Responsible AI, bias testing, and model explainability principles.
  • Strong communication and documentation skills for ARS and Model Card preparation.

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