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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

About us

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).

Currently, INDICO starting to develop its business in AgriTech. 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:

  • Ensure the availability of high quality data and insights across the company.
  • Merging different data sources and reformatting or processing the data using ETL tools
  • Assist in building the analytical component to conduct deep-dive analysis of all data deriving to recommend decision making in Marketing and Growth & Product departments.
  • Collaborate with tech and product teams to solve problems for customers and clients.
  • Analyze large amounts of information to discover trends and patterns
  • Communicate results and ideas to key decision-makers
  • Propose solutions and strategies to business challenges
  • Communicate with multiple divisions regarding their needs for data to support data driven initiatives
  • Bachelor鈥檚 degree in System Information, Computer Science, Mathematics, Statistics, or other related fields
  • Proven with min 5 year experiences as a Data Scientist or Data Analyst preferably in agricultural industry
  • 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 (R, Python, SQL, etc.) 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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