Data Scientist: Revenue & Personalization ML

PT Global Digital Niaga; Kemayoran; On-site; IDR 240,000,000 - 360,000,000; Full time

Job summary

Blibli is transforming into a data-driven digital ecosystem where analytics, ML, and technology drive growth. The Data Scientist will identify business opportunities and translate problems into analytical solutions, developing models that create measurable business impact.

The role collaborates with Product, Commercial, Supply Chain, and Technology teams to deliver data-driven insights across revenue optimization, personalization, pricing, and efficiency. Strong business acumen is essential.

Qualifications

• Bachelor's degree in CS or related quantitative field (Statistics, Mathematics, Data Science).
• 2–3 years of experience in Data Science or Machine Learning.
• Strong proficiency in Python and SQL.
• Experience building machine learning models end-to-end.
• Familiar with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Develop and maintain machine learning models to solve business problems across Revenue Intelligence, Supply Chain, and Personalization.
• Analyze large datasets and generate actionable insights to support business growth.
• Build predictive models for pricing optimization, recommendation systems, advertising optimization, and revenue uplift initiatives.
• Collaborate with business stakeholders to translate requirements into data-driven solutions.
• Work closely with Data Engineers and ML Engineers to support model deployment and automation.

Skills

Python

SQL

Machine Learning

Cloud platforms

Education

Bachelor's degree in CS/Statistics/Data Science

Tools

AWS

GCP

Azure

Job description

Blibli is transforming into a data-driven digital ecosystem where analytics, ML, and technology drive growth. The Data Scientist will identify business opportunities and translate problems into analytical solutions, developing models that create measurable business impact.

The role collaborates with Product, Commercial, Supply Chain, and Technology teams to deliver data-driven insights across revenue optimization, personalization, pricing, and efficiency. Strong business acumen is essential.