Data Scientist — Revenue, Personalization & Pricing AI

Blibli

Jakarta Pusat

On-site

IDR 180,000,000 - 320,000,000

Full time

14 days+
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Job summary

Blibli is accelerating its transformation into a data-driven digital ecosystem where analytics, machine learning, and technology play a critical role in driving business growth. The Data Scientist identifies business opportunities, translates complex problems into analytics, and develops models that create measurable impact across pricing, personalization, and operations.

This role collaborates with Product, Commercial, Supply Chain, and Technology teams to deliver scalable data-driven insights,

Qualifications

  • Bachelor's degree in a quantitative field related to data science or analytics.
  • 2-3 years of experience in data science or machine learning.
  • Strong Python and SQL proficiency.
  • Experience building end-to-end ML models and deploying them.
  • 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
Data Science
Machine Learning
Analytical Thinking

Education

Bachelor's Degree in Computer Science / Statistics / Mathematics / Data Science

Tools

AWS
GCP
Azure

Job description

Blibli is accelerating its transformation into a data-driven digital ecosystem where analytics, machine learning, and technology play a critical role in driving business growth. The Data Scientist identifies business opportunities, translates complex problems into analytics, and develops models that create measurable impact across pricing, personalization, and operations.

This role collaborates with Product, Commercial, Supply Chain, and Technology teams to deliver scalable data-driven insights,

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