AI/ML Data Scientist - End-to-End Modeling & Deployment

Indosat; Tangerang; Hybrid; IDR 180,000,000 - 300,000,000; Full time

Job summary

Indosat is seeking a Data Scientist to develop and operationalize AI and ML solutions across consumer, enterprise, and corporate domains. You will translate business questions into analytical use cases, design models, and ensure measurable outcomes such as churn reduction, ARPU growth, and cost optimization.

The role leads the full AI lifecycle from data exploration and feature engineering to model deployment and performance tracking, deploying with Vertex AI pipelines and maintaining

Qualifications

• Bachelor’s or Master’s 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.

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.

Skills

Python

SQL

ML frameworks

Responsible AI

Communication

Education

Bachelor’s or Master’s degree in Data Science/Statistics/CS/Applied Math

Tools

TensorFlow

PyTorch

Scikit-learn

Vertex AI

AWS SageMaker

Azure ML

Job description

Indosat is seeking a Data Scientist to develop and operationalize AI and ML solutions across consumer, enterprise, and corporate domains. You will translate business questions into analytical use cases, design models, and ensure measurable outcomes such as churn reduction, ARPU growth, and cost optimization.

The role leads the full AI lifecycle from data exploration and feature engineering to model deployment and performance tracking, deploying with Vertex AI pipelines and maintaining