Data Scientist

PT Global Digital Niaga

Kemayoran

On-site

IDR 240,000,000 - 360,000,000

Full time

3 days ago
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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 accelerating its transformation into a data-driven digital ecosystem where analytics, machine learning, and technology play a critical role in driving business growth. As part of this journey, the Data Science team empowers decision-making through advanced analytics, predictive modeling, and AI-powered solutions across key business domains.

The Data Scientist is responsible for identifying business opportunities, translating complex problems into analytical solutions, and developing machine learning models that create measurable business impact. This role works closely with Product, Commercial, Supply Chain, and Technology teams to deliver data-driven insights and scalable solutions across areas such as revenue optimization, personalization, pricing, and operational efficiency. The ideal candidate combines strong technical expertise with business acumen, enabling them to not only build models but also understand the reasoning behind business decisions and drive tangible outcomes.

What You'll Do
  • 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.
What You'll Do
  • 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.
Qualifications
  • Bachelor's Degree in Computer Science (preferred), Statistics, Mathematics, Data Science, or related quantitative fields.
  • Minimum 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).
  • Strong analytical thinking and problem-solving skills.
  • Preferred background from e-commerce, marketplace, technology, or digital companies.
Why You'll Love Working Here

We believe growth happens where people feel supported, trusted, and encouraged to improve continuously. At Blibli, you'll work in a collaborative environment with teams that value care, integrity, and learning. This role offers hands-on exposure to HR operations while allowing you to apply your healthcare knowledge in a meaningful way - helping Bliblioneers stay healthy as we continue growth - transforming together.

Blibli.com is an e-commerce platform built upon a big dream: to lead Indonesians to enter a new digital lifestyle and give only the best shopping experience for a better life. We are committed to conduct our business with customer-centric minded, striving to deliver the best features and services to satisfy our customers. We aim for an exciting challenge to become the number 1 e-commerce platform in Indonesia by providing the best customer-centric experience for both buyers and sellers. Blibli.com is created by Indonesians, in Indonesia, and for Indonesians; we're here as an inspiration to channel and empower the Indonesian people to engage and socialize in commercial activities.

Blibli.com is an e-commerce platform built upon a big dream: to lead Indonesians to enter a new digital lifestyle and give only the best shopping experience for a better life. We are committed to conduct our business with customer-centric minded, striving to deliver the best features and services to satisfy our customers. We aim for an exciting challenge to become the number 1 e-commerce platform in Indonesia by providing the best customer-centric experience for both buyers and sellers. Blibli.com is created by Indonesians, in Indonesia, and for Indonesians; we're here as an inspiration to channel and empower the Indonesian people to engage and socialize in commercial activities.

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