Data Scientist: AI Lifecycle & Responsible AI Expert

3; Jakarta Selatan; On-site; IDR 240,000,000 - 480,000,000; Full time

Job summary

Unknown Data Company seeks a Data Scientist to develop and operationalize AI and ML solutions across consumer, enterprise, and corporate domains. You will translate complex business questions into analytical use cases and design predictive models to deliver measurable outcomes such as churn reduction and ARPU growth.

You will lead the full AI lifecycle from data exploration to deployment, build Vertex AI pipelines from UDP to ACE, and maintain model documentation with data lineage, KPIs, and

Qualifications

• Degree in data science, statistics, CS, or applied math.
• 3–6 years of ML model development/experimentation.
• Proficient in Python, SQL and cloud ML platforms (Vertex AI/AWS/Azure).

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 ML models aligned to business use cases and Responsible AI standards.
• Engineer new features to improve model performance and capture new signals.
• Build, test, and maintain Vertex AI pipelines from UDP to ACE, with model documentation.

Skills

Python

SQL

TensorFlow

PyTorch

Scikit-learn

Data Visualization

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or Applied Mathematics

Tools

Vertex AI

AWS SageMaker

Azure ML

Job description

Unknown Data Company seeks a Data Scientist to develop and operationalize AI and ML solutions across consumer, enterprise, and corporate domains. You will translate complex business questions into analytical use cases and design predictive models to deliver measurable outcomes such as churn reduction and ARPU growth.

You will lead the full AI lifecycle from data exploration to deployment, build Vertex AI pipelines from UDP to ACE, and maintain model documentation with data lineage, KPIs, and