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Ditutup 28 September 2026. Lihat lowongan serupa yang masih dibuka di bawah.

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Data Scientist

INDICO 路 Jakarta 路

Deskripsi pekerjaan

INDICO is a subsidiary of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel鈥檚 digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel鈥檚 digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia鈥檚 digital economy.

What you will do, but not limited to:

  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Merging different data sources and reformatting or processing the data using ETL tools
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Design math-based solutions on business case to evaluate the impact of new and existing product features.
  • Develop custom data models and algorithms to apply to data sets.
  • Communicating insights, analysis, data visualization and business case to the stakeholders
  • Collaborate with tech and product team to solve customers problem based on data.
  • Bachelor鈥檚 degree in Mathematics, Statistics, Computer Science, or other related fields
  • Proven with min 5 year experiences as a Data Scientist or Data Analyst
  • Have experience using Phyton, AWS and/or Terraform is a plus point
  • Knowledge of data science concepts (regression, classification, clustering, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
  • Proficient in programming skills for data acquisition, processing, and analysis from large data sets
  • Excellent written and verbal communication skills for coordinating across teams
  • Strong analytical and problem-solving skills with an emphasis on product development
  • A drive to learn and master new technologies and techniques

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