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Data Scientist (Fulltime Jakarta)

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Onsite

Data Scientist (Fulltime Jakarta)

PT Sinergia Worldwide Education

Data Scientist (Fulltime Jakarta)

Skills

SQL QueriesPythonData ScienceData VisualizationRData AnalysisMachine LearningCompliance

1 month ago

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Important information


Contract type:

Freelance / Contract

Salary:

IDR 66,000,000 – IDR 96,000,000 / year

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

25 September 2026

What they need


General Requirements – Data Scientist

  • Minimum Bachelor (S1) with major of Statistics, Mathematics, Computer Science/Informatics, Data Science, Information Systems, or Engineering (priority of state universities / PTN)
  • Minimum 1 years of experience in Data Science, Data Analytics, or Machine Learning

Competencies:

  • Proficiency in Python and/or R for data analysis and modeling

  • Strong knowledge of SQL and database querying

  • Familiarity with Machine Learning frameworks

  • Experience with data visualization tools

  • Solid understanding of statistics, probability, and hypothesis testing

  • Strong analytical thinking and comfortable working with large, complex datasets

  • Good communication skill to translate technical findings into business insights

  • Attention to detail and well organized

  • Fast learner with excellent time management and ability to work independently

  • Willing to be in contract minimum 1 year

Job Description:

  • Collect, clean, and preprocess structured and unstructured data from various sources

  • Build, validate, and deploy predictive/machine learning models to support business decision-making

  • Perform exploratory data analysis to identify trends, patterns, and business opportunities

  • Create dashboards and reports to communicate insights to stakeholders and management

  • Collaborate with Engineering, Product, and Business teams to translate business problems into data-driven solutions

  • Monitor and maintain model performance in production, retraining when necessary

  • Ensure data quality, integrity, and compliance with company data governance policies

  • Document methodologies, models, and findings for internal knowledge sharing

  • Other tasks as assigned

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